Nightfall News
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Why Microsoft 365 DLP Demands More Than Purview
Microsoft Purview checks the compliance box. It does not stop real data loss in modern Microsoft 365 environments.
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When Customer Data Quietly Walks Out the Door: Lessons from the Coupang Breach
The recent Coupang data breach highlights a persistent blind spot for security teams: limited visibility and control at the data layer itself.
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Create Custom File Classifiers with Nightfall AI. No Regex Required
Create custom file classifiers using natural language prompts with Nightfall AI. No regex, no model training, no data science support required.
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AI-Native Browsers Demand AI-Native Security: Why Legacy DLP Can't Protect You
AI-native browsers are reshaping data exfiltration. Legacy DLP isn’t built for this moment.
Why Customer Support Teams Need Modern DLP for Zendesk
Customer support has become one of the biggest sources of sensitive data exposure. Legacy DLP was never designed to prevent this.
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When Screenshots, Clipboard Activity, & File Uploads Become Security Incidents: Lessons from a Recent Insider Threat Case
Insider risk increasingly hinges on ordinary desktop actions that evade traditional controls like screenshots, clipboard moves, and post-download uploads.
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Why Reg S-P Compliance Is Becoming a Critical Risk for Financial Firms — and How Nightfall Can Help
Nightfall helps close gaps around SEC’s Regulation S-P’s expanded expectations by delivering automated data discovery, ML-driven classification, real-time safeguards, and detailed incident-response artifacts across SaaS apps.
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The Hidden Security Risk in Your Atlassian Cloud Migration
A practical playbook for how to plan and execute an Atlassian Cloud migration, with data security top of mind.
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17 Must-Have Cybersecurity Black Friday & Cyber Monday Deals for 2025
Cybersecurity professionals: Black Friday & Cyber Monday deals just for you are here: 17 must-have tools and courses to level up your skills in 2026 and beyond.
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Shadow AI: From Hidden Threat to Organizational Challenge
Nightfall CEO and co-founder Rohan Sathe appeared on The Cloudcast podcast recently to explain why shadow AI risk is accelerating and why traditional DLP can’t keep up.
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Nightfall Product Updates & News: Fall 2025
Nightfall’s latest updates make it easier for security teams to detect risk, prevent data loss, and act confidently.
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When Collaboration Tools Become Exfiltration Channels: What the Palantir Case Reveals
The lesson from Palantir is clear: if you can’t see how your data moves, you’re vulnerable. No matter the company size.
AI Browsers Are Silently Exfiltrating Sensitive Data - and Legacy DLP Can't See It
A new generation of AI-powered browsers, like OpenAI’s Atlas and Perplexity’s Comet, are changing the threat landscape. They remember everything. Sync everywhere. And operate far beyond your DLP’s visibility.
AI Browsers Are Silently Exfiltrating Sensitive Data and Legacy DLP Can't See It
A new generation of AI-powered browsers, like OpenAI’s Atlas and Perplexity’s Comet, are changing the threat landscape. They remember everything. Sync everywhere. And operate far beyond your DLP’s visibility.
From Cyberhaven to Nightfall: A Practical Migration Blueprint for Modern DLP
See why organizations are shifting from reactive monitoring with Cyberhaven to intelligent prevention with Nightfall AI
The Top 10 Endpoint DLP Solutions of 2025 (and 30 FAQs Every Security Team Should Know)
Discover the top 10 endpoint DLP solutions of 2025 with these AI-ready data protection tools. Nightfall is the leading choice for its cloud-native architecture, lightweight performance, and unmatched accuracy in preventing data leaks to AI tools.
From Legacy to AI-Native: Your Complete Guide to Migrating from Code42 to Nightfall
Security teams are hitting a wall with Code42
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The Top 10 Windows DLP Solutions of 2025 (and 30 FAQs Every Security Team Should Know)
Windows endpoints remain the backbone of enterprise workloads, and the primary vector for sensitive data.
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The Top 10 Mac DLP Solutions of 2025 (and 25+ FAQs Every Security Team Should Know)
Macs now dominate enterprise endpoints, yet traditional DLP tools often lag behind Apple’s evolving security model.
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AI, Risk, and Enterprise Security: Highlights from a Discussion with Enrique Salem
Twenty years ago, we were wrestling with shadow IT. Today, we're witnessing the same problems shadow AI.The fundamental question remains unchanged: What happens to our data?
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Beyond Perimeters: How Modern Endpoint DLP Addresses Today's Data Exfiltration Reality
To stay ahead of today’s exfiltration risks, DLP has to evolve into a smarter, more contextual layer of security.
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Enable Secure AI Adoption Without Blocking Innovation: Just Add Nightfall
Sensitive data, IP, and customer information are slipping into shadow AI apps every day. And your teams may not even know it’s happening.
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How Nightfall Brings AI-Native Context-Aware DLP to Microsoft 365
Nightfall DLP provides full visibility across Microsoft 365, from Exchange to SharePoint.
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The Cloudflare Breach: Why Supply Chain Security Can't Be an Afterthought in 2025
The Cloudflare breach is the latest reminder: your supply chain is your attack surface.
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The xAI Wake-Up Call: A CISO's Guide to Preventing Data Exfiltration
Insiders have the ultimate exploit: legitimacy. That’s why insider threats are so dangerous. They look normal. Until it’s too late.
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Securing Shadow AI: 6 Principles from Security Leaders Who've Been There
Safe AI adoption isn’t about restriction. It’s about visibility, guidance, and smart governance.
The Workday Breach: Why Your DLP Strategy Is Already Obsolete
Workday disclosed a breach that exposed customer data through a sophisticated ShinyHunters campaign. Read why this isn’t just another incident: it's proof that traditional DLP is obsolete.
Nightfall Product Updates & News: July/August 2025
See Nightfall's new AI-driven features and platform enhancements designed to make your DLP workflows smarter, faster, and more precise.
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Designing an Agentic AI Copilot: 8 Principles from Building Nyx
While building Nyx, Nightfall's agentic AI copilot for security teams, our team spent a lot of time thinking about how to make her an effective team member. These are the 8 principles that guided us.
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The Nightfall Approach: 5 Ways Our Shadow AI Coverage Differs from Generic DLP
Everyone’s talking about Shadow AI risk. But not all coverage is created equal
Join Nightfall at the VISIONS CIO Leadership Summit in Orlando October 14-16, 2025
Don’t miss your chance and join us as our VIP Guest to expand your network, sharpen your skills, and gain new perspectives in this unique, invitation-only event.
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Data Flow: Why Most Organizations Don’t Understand Their Information Movement
If you don’t know where your data goes, you can’t protect it.
How LLMs Are Changing DLP, And Why That’s a Good Thing
AI is transforming data loss prevention. Here’s why that matters for your security team.
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Build vs. Buy: How AI is Shaping Your Next DLP Decision
As AI reshapes the security landscape, every security leader faces a critical question: Should you build your own DLP tools, or buy solutions already powered by AI?
Nightfall Product Updates & News: May/June 2025
Product news and updates from Nightfall: improved dashboard, new detectors, and a lot more.
From Code to Conversations: How Modern AI Creates New Classes of Data Risk
Chasing AI productivity gains can come with a hidden cost: invisible data exposure
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Now Available: AI-Powered Data Loss Prevention for Microsoft Exchange Online
The Reality Behind Exchange Online DLP: What Customers Actually Experience
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The Missing Layer: Email Protection That Exchange Online and Gmail Users Urgently Need
Go beyond legacy DLP tools to get comprehensive email protection
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Beyond Attachments: How Email Becomes Your Biggest Data Exfiltration Vector
Email has become one of the most notorious data exfiltration vectors
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Enabling Safe AI Adoption: Insights from Nightfall AI and Vanta
A discussion with Rohan Sathe, Co-founder of Nightfall AI, and Unni Patel, Senior Product Manager at Vanta
Data Loss Prevention (DLP) on Jira and Confluence Data Center & Server Editions
Jira and Confluence house high volumes of customer information, tickets, notes, wiki articles, and more. To scan Jira and Confluence Data Center or Server editions, you can use Nightfall’s APIs to scan data at-rest in these silos. In this article, we’ll walk through how you can run a full historical scan on your Jira and Confluence data to discover sensitive data, like API keys and PII.
Scanning Amazon S3 Buckets with Nightfall Data Loss Prevention (DLP)
In this tutorial, we will walk through the end-to-end process of scanning your Amazon S3 buckets for sensitive data with Nightfall's S3 Sensitive Data Scanner.
Nightfall’s Spring 2025 Product Launch Brings DLP to the AI Era
Nightfall's Approach: Enabling secure AI adoption
Why Partial DLP Coverage Leaves Your Data Exposed – And How to Fix It
“We have a DLP tool, but we still had no idea this much data was exposed.”
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G2 Recognizes Nightfall as Data Loss Prevention (DLP) Leader for Spring 2025
G2 Recognizes Nightfall as Data Loss Prevention (DLP) Leader for Spring 2025
Secure API Keys and Passwords with Nightfall’s AI-Native DLP
Secure APIs and Passwords with Nightfall’s AI-Native DLP
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Insider Risk with Nightfall DLP: Episode 2 - Managing Shadow AI
Nightfall DLP makes it easy to enforce policies to combat shadow AI and keep critical data safe
The Essential DLP Checklist for Digital Health and Life Sciences
Protect PHI and PII with Nightfall's Essential DLP Checklist for Health Tech and Life Sciences
Why the Future of DLP Is Invisible, Invincible, and Inexpensive
See how the 3 I’s of DLP are built into everything Nightfall does when protecting sensitive data across endpoints and SaaS
Data Loss Prevention (DLP) Policies: The Essential Guide and Free Policy Template for 2025
A comprehensive guide to creating and implementing effective data loss prevention policies, including a free customizable template for 2025.
Insider Risk with Nightfall DLP: Episode 1 - Prevent Personal Cloud Store Uploads
Insider risk illustrated, with Nightfall DLP
ChatGPT Security Risks and How to Mitigate Them: A Complete Guide
This guide examines the major security risks associated with ChatGPT and provides actionable mitigation strategies for organizations.
Is Microsoft Copilot HIPAA Compliant?
An in-depth examination of Microsoft Copilot's HIPAA compliance status, including its security features, limitations, and best practices for healthcare organizations.
Is Data Loss Prevention Required for ISO 27001 Compliance?
ISO 27001:2022 explicitly requires Data Loss Prevention (DLP) controls to protect sensitive data. This guide explains Annex A 8.12 requirements, implementation steps, and best practices for compliance.
Is Google Gemini HIPAA Compliant?
An in-depth examination of Google Gemini's HIPAA compliance status, potential use cases in healthcare, and what organizations need to know about using generative AI with PHI.
Is ChatGPT HIPAA Compliant?
A detailed exploration of whether ChatGPT meets HIPAA standards, covering challenges and strategies for safely using AI tools in healthcare.
What Do the Numbers in Your Social Security Number Mean? A Complete Breakdown
Learn the meaning behind each digit in your Social Security number, including their original purpose, area number significance, and how these identifiers are assigned and protected.
How to Prevent Sensitive Data Exposure to AI Chatbots Like DeepSeek
Three simple DLP strategies can prevent sensitive data from getting exposed to AI chatbots like DeepSeek
Nightfall Releases the 2025 State of Secrets Exposure Report
This year's report offers a look at what changed, what stayed the same, and where you can find a little hope in the quest for effective secrets management.
What is Data Lineage and Why Does it Matter in Data Loss Prevention?
Discover what data lineage is and why combining data lineage with AI-driven classification is critical for modern DLP strategies. Learn how tracking data's origin and movement while accurately identifying sensitive content prevents leaks in SaaS, AI, and cloud environments.
What Happened in the PowerSchool Data Breach?
Explore the details of the PowerSchool data breach, its impact on schools and students, and learn essential cybersecurity lessons from this incident.
The Top 5 Cyberhaven Alternatives and Competitors in 2025
Explore the top Cyberhaven alternatives and competitors in 2025. Discover solutions like Nightfall AI, Code42 Incydr, Proofpoint ObserveIT, Endpoint Protector, and Symantec DLP to address modern data loss prevention (DLP) challenges with advanced features, seamless deployment, and comprehensive coverage.
Beyond Repository Scanning: The Case for End-to-End Data Protection in Development
If your company does any software development–even internally–you need to know how to protect data at each point in the lifecycle. Learn how.
Does Microsoft Copilot Store Your Data?
Learn how Microsoft Copilot handles your data, what privacy controls exist, and how to mitigate potential data security risks when using this AI assistant.
Here’s What We Can Learn from the Cyberhaven Incident
In December 2024, Cyberhaven fell victim to a sophisticated cyberattack that exploited a phishing campaign targeting its Chrome Web Store account. This breach compromised over 400,000 users by injecting malicious code into its browser extension, exfiltrating sensitive data such as cookies and session tokens. The incident ...
Does ChatGPT Store Your Data in 2025?
Does ChatGPT store your data in 2025? What safeguards exist to protect user privacy? This analysis explores ChatGPT’s 2025 data practices, retention policies, and compliance landscape, empowering users and organizations to make informed decisions.
Safetica DLP: Comprehensive Analysis & Top Alternatives in 2025
In-depth Safetica DLP guide: explore features, real-world limitations, and how it compares to modern solutions like Nightfall AI for GenAI and cloud data security.
Palo Alto Networks DLP: Comprehensive Analysis and Top Alternatives in 2025
Palo Alto Networks (PANW) may not be the right data security solution for every organization. Read on to learn more about PANW's top alternatives and competitors.
Netskope DLP: Comprehensive Analysis & Top Alternatives in 2025
Netskope DLP review: Key features, real-world issues (latency, policy confusion, support gaps), plus alternatives and 15+ FAQs.
CrowdStrike DLP: Comprehensive Review & Top Alternatives in 2025
In-depth 2025 CrowdStrike DLP guide: explore features, real-world limitations, and how it compares to modern solutions like Nightfall AI for GenAI and cloud data security.
Code42 Incydr: The Essential Analysis with 50+ FAQs and Top Alternatives
Code42 Incydr is among the legacy solutions aiming to mitigate insider threats, yet it doesn’t always meet every organization’s needs. In the following article, we examine Code42’s capabilities and limitations through a 60-question FAQ that addresses everything you'd want to know when evaluating DLP and IRM solutions.
Forcepoint DLP: Comprehensive Review and Top Alternatives in 2025
Discover Forcepoint DLP’s features, limitations, and top alternatives. Learn how AI-driven solutions like Nightfall can protect data more effectively.
Symantec DLP: Comprehensive Review and Top Alternatives in 2025
Discover Symantec DLP’s features, limitations, and top alternatives. Learn how AI-driven solutions like Nightfall can protect data more effectively.
Proofpoint DLP: Comprehensive Analysis and Top Alternatives in 2025
Explore Proofpoint DLP’s 2025 capabilities and compare it to top modern DLP solutions like Nightfall AI, Forcepoint, and Symantec.
Zscaler DLP: Comprehensive Review & Top Alternatives in 2025
Zscaler may not be the right data security solution for every organization. Read on to learn more about Zscaler's top alternatives and competitors.
The 12 Best Data Loss Prevention Software Solutions of 2025 and 50+ FAQs Answered
Learn more about the top 12 best data loss prevention software solutions that can help you protect sensitive data and address 50+ FAQs to guide your evaluation of the top DLP solutions.
The 7 Most Telling Data Breaches of 2024
Get the skinny on which 2024 breaches signal the biggest data security threats, trends, and shifts.
Protecting Data when Migrating Confluence and Jira from On-Prem to Cloud in 2025
Get to know the risks that can threaten sensitive information when moving to the cloud, what’s at stake in an exfiltration event, and how Nightfall’s AI-first, all-in-one DLP can protect your information while migrating to Atlassian Cloud.
People Problem or Data Problem? Risks and Mitigation of Insider Threats
What are insider threats, and how can you defend against them?
Understanding the Limitations of Atlassian Guard DLP: What You Need to Know
Atlassian collaboration apps enable tremendous productivity, but the way most teams use them poses great risks to your data. Should you use native Atlassian DLP, or look to external cloud DLP to mitigate those risks? Take a deep dive into functionality, advantages, disadvantages, and more to find the right solution for your needs.
Securing the Human Element: A Modern Guide to Effective PII Management and Protection
PII remains a top target for data thieves, but is vital to numerous business workflows. Learn how to find and secure PII across SaaS and cloud workspaces in real time, minimizing data sprawl and improving your data security posture..
Loose AWS API keys: what's your real risk?
While malicious actors can gain access to systems in any number of ways, using your API key is the equivalent of walking through a wide-open door and walking in unchecked. Whoever holds that key will have direct access to what are likely your most valuable digital assets.
Intelligent Data Classification: Transforming Google Drive Security
Customers need an automated, dynamic, and human-centric cloud DLP solution to label and classify data in Google Drive.
How To Prevent Secrets Sprawl
Where are your credentials and secrets, and how are you protecting them?
DLP 101: How to Prevent Data Exfiltration in the Cloud
What is data exfiltration, and how can cloud Data Loss Prevention (DLP) help defend against it?
Top 10 Insider Risk Management Products of 2025
Discover the top insider risk management products that are changing the game in 2024.
8 Best Data Security Posture Management Products of 2024
Data Security Posture Management watches over your entire data ecosystem, spotting risks before they become disasters. In 2024, DPSM solutions are the game-changers you can't ignore.
Top 10 User and Entity Behavior Analytics Products of 2024
Dive into the world of User and Entity Behavior Analytics and reveal the top 10 UEBA products that are changing the game in 2024.
10 Essential Guidelines For Enterprise-Ready AI Solutions
AI-powered solutions are becoming increasingly prevalent in enterprise environments, leading to a new trend in procurement: the need for comprehensive AI governance frameworks.
Nightfall Named A Leader in Data Loss Prevention by G2
Nightfall leads the way in Data Loss Prevention Software, Data Security Software, and Sensitive Data Discovery Software.
Data Loss Prevention for Compliance: Meeting HIPAA, GDPR, PCI-DSS, and More
Regulations like HIPAA, GDPR, and PCI-DSS are essential for maintaining customer trust. Read on to learn about key regulations, compliance best practices, and more.
Nightfall AI Honored as Winner of the 2024 SC Awards
Nightfall has been recognized in the Best Data Security Solution and Best Insider Threat Solution categories.
DLP 101: What is data leakage protection, and why do you need it?
Learn how data leakage protection tools can help you to prevent data leaks, achieve compliance, and give you better control over your data.
5 Steps to Send An Encrypted Email in Gmail
Discover how to send encrypted emails in Gmail using Nightfall’s AI-powered encryption tools.
Top Data Detection and Response Tools of 2024
Explore the best data detection and response tools to stay ahead of threats, maintain compliance, and protect sensitive data.
Prompt Sanitization: 5 Steps for Protecting Data Privacy in AI Apps
Content filtering and prompt sanitization are key for maintaining security and trust in LLM apps.
Why Microsoft 365 DLP Demands More Than Purview
Microsoft Purview checks the compliance box. It does not stop real data loss in modern Microsoft 365 environments.
When Customer Data Quietly Walks Out the Door: Lessons from the Coupang Breach
The recent Coupang data breach highlights a persistent blind spot for security teams: limited visibility and control at the data layer itself.
Create Custom File Classifiers with Nightfall AI. No Regex Required
Create custom file classifiers using natural language prompts with Nightfall AI. No regex, no model training, no data science support required.
AI-Native Browsers Demand AI-Native Security: Why Legacy DLP Can't Protect You
AI-native browsers are reshaping data exfiltration. Legacy DLP isn’t built for this moment.
Why Customer Support Teams Need Modern DLP for Zendesk
Customer support has become one of the biggest sources of sensitive data exposure. Legacy DLP was never designed to prevent this.
When Screenshots, Clipboard Activity, & File Uploads Become Security Incidents: Lessons from a Recent Insider Threat Case
Insider risk increasingly hinges on ordinary desktop actions that evade traditional controls like screenshots, clipboard moves, and post-download uploads.
Why Reg S-P Compliance Is Becoming a Critical Risk for Financial Firms — and How Nightfall Can Help
Nightfall helps close gaps around SEC’s Regulation S-P’s expanded expectations by delivering automated data discovery, ML-driven classification, real-time safeguards, and detailed incident-response artifacts across SaaS apps.
The Hidden Security Risk in Your Atlassian Cloud Migration
A practical playbook for how to plan and execute an Atlassian Cloud migration, with data security top of mind.
17 Must-Have Cybersecurity Black Friday & Cyber Monday Deals for 2025
Cybersecurity professionals: Black Friday & Cyber Monday deals just for you are here: 17 must-have tools and courses to level up your skills in 2026 and beyond.
Shadow AI: From Hidden Threat to Organizational Challenge
Nightfall CEO and co-founder Rohan Sathe appeared on The Cloudcast podcast recently to explain why shadow AI risk is accelerating and why traditional DLP can’t keep up.
Nightfall Product Updates & News: Fall 2025
Nightfall’s latest updates make it easier for security teams to detect risk, prevent data loss, and act confidently.
When Collaboration Tools Become Exfiltration Channels: What the Palantir Case Reveals
The lesson from Palantir is clear: if you can’t see how your data moves, you’re vulnerable. No matter the company size.
AI Browsers Are Silently Exfiltrating Sensitive Data - and Legacy DLP Can't See It
A new generation of AI-powered browsers, like OpenAI’s Atlas and Perplexity’s Comet, are changing the threat landscape. They remember everything. Sync everywhere. And operate far beyond your DLP’s visibility.
AI Browsers Are Silently Exfiltrating Sensitive Data and Legacy DLP Can't See It
A new generation of AI-powered browsers, like OpenAI’s Atlas and Perplexity’s Comet, are changing the threat landscape. They remember everything. Sync everywhere. And operate far beyond your DLP’s visibility.
From Cyberhaven to Nightfall: A Practical Migration Blueprint for Modern DLP
See why organizations are shifting from reactive monitoring with Cyberhaven to intelligent prevention with Nightfall AI
The Top 10 Endpoint DLP Solutions of 2025 (and 30 FAQs Every Security Team Should Know)
Discover the top 10 endpoint DLP solutions of 2025 with these AI-ready data protection tools. Nightfall is the leading choice for its cloud-native architecture, lightweight performance, and unmatched accuracy in preventing data leaks to AI tools.
From Legacy to AI-Native: Your Complete Guide to Migrating from Code42 to Nightfall
Security teams are hitting a wall with Code42
The Top 10 Windows DLP Solutions of 2025 (and 30 FAQs Every Security Team Should Know)
Windows endpoints remain the backbone of enterprise workloads, and the primary vector for sensitive data.
The Top 10 Mac DLP Solutions of 2025 (and 25+ FAQs Every Security Team Should Know)
Macs now dominate enterprise endpoints, yet traditional DLP tools often lag behind Apple’s evolving security model.
AI, Risk, and Enterprise Security: Highlights from a Discussion with Enrique Salem
Twenty years ago, we were wrestling with shadow IT. Today, we're witnessing the same problems shadow AI.The fundamental question remains unchanged: What happens to our data?
Beyond Perimeters: How Modern Endpoint DLP Addresses Today's Data Exfiltration Reality
To stay ahead of today’s exfiltration risks, DLP has to evolve into a smarter, more contextual layer of security.
Enable Secure AI Adoption Without Blocking Innovation: Just Add Nightfall
Sensitive data, IP, and customer information are slipping into shadow AI apps every day. And your teams may not even know it’s happening.
How Nightfall Brings AI-Native Context-Aware DLP to Microsoft 365
Nightfall DLP provides full visibility across Microsoft 365, from Exchange to SharePoint.
The Cloudflare Breach: Why Supply Chain Security Can't Be an Afterthought in 2025
The Cloudflare breach is the latest reminder: your supply chain is your attack surface.
The xAI Wake-Up Call: A CISO's Guide to Preventing Data Exfiltration
Insiders have the ultimate exploit: legitimacy. That’s why insider threats are so dangerous. They look normal. Until it’s too late.
Securing Shadow AI: 6 Principles from Security Leaders Who've Been There
Safe AI adoption isn’t about restriction. It’s about visibility, guidance, and smart governance.
The Workday Breach: Why Your DLP Strategy Is Already Obsolete
Workday disclosed a breach that exposed customer data through a sophisticated ShinyHunters campaign. Read why this isn’t just another incident: it's proof that traditional DLP is obsolete.
Nightfall Product Updates & News: July/August 2025
See Nightfall's new AI-driven features and platform enhancements designed to make your DLP workflows smarter, faster, and more precise.
Designing an Agentic AI Copilot: 8 Principles from Building Nyx
While building Nyx, Nightfall's agentic AI copilot for security teams, our team spent a lot of time thinking about how to make her an effective team member. These are the 8 principles that guided us.
The Nightfall Approach: 5 Ways Our Shadow AI Coverage Differs from Generic DLP
Everyone’s talking about Shadow AI risk. But not all coverage is created equal
Data Flow: Why Most Organizations Don’t Understand Their Information Movement
If you don’t know where your data goes, you can’t protect it.
How LLMs Are Changing DLP, And Why That’s a Good Thing
AI is transforming data loss prevention. Here’s why that matters for your security team.
Build vs. Buy: How AI is Shaping Your Next DLP Decision
As AI reshapes the security landscape, every security leader faces a critical question: Should you build your own DLP tools, or buy solutions already powered by AI?
Nightfall Product Updates & News: May/June 2025
Product news and updates from Nightfall: improved dashboard, new detectors, and a lot more.
From Code to Conversations: How Modern AI Creates New Classes of Data Risk
Chasing AI productivity gains can come with a hidden cost: invisible data exposure
Now Available: AI-Powered Data Loss Prevention for Microsoft Exchange Online
The Reality Behind Exchange Online DLP: What Customers Actually Experience
The Missing Layer: Email Protection That Exchange Online and Gmail Users Urgently Need
Go beyond legacy DLP tools to get comprehensive email protection
Beyond Attachments: How Email Becomes Your Biggest Data Exfiltration Vector
Email has become one of the most notorious data exfiltration vectors
Enabling Safe AI Adoption: Insights from Nightfall AI and Vanta
A discussion with Rohan Sathe, Co-founder of Nightfall AI, and Unni Patel, Senior Product Manager at Vanta
Nightfall’s Spring 2025 Product Launch Brings DLP to the AI Era
Nightfall's Approach: Enabling secure AI adoption
Why Partial DLP Coverage Leaves Your Data Exposed – And How to Fix It
“We have a DLP tool, but we still had no idea this much data was exposed.”
G2 Recognizes Nightfall as Data Loss Prevention (DLP) Leader for Spring 2025
G2 Recognizes Nightfall as Data Loss Prevention (DLP) Leader for Spring 2025
Secure API Keys and Passwords with Nightfall’s AI-Native DLP
Secure APIs and Passwords with Nightfall’s AI-Native DLP
Insider Risk with Nightfall DLP: Episode 2 - Managing Shadow AI
Nightfall DLP makes it easy to enforce policies to combat shadow AI and keep critical data safe
The Essential DLP Checklist for Digital Health and Life Sciences
Protect PHI and PII with Nightfall's Essential DLP Checklist for Health Tech and Life Sciences
Why the Future of DLP Is Invisible, Invincible, and Inexpensive
See how the 3 I’s of DLP are built into everything Nightfall does when protecting sensitive data across endpoints and SaaS
Insider Risk with Nightfall DLP: Episode 1 - Prevent Personal Cloud Store Uploads
Insider risk illustrated, with Nightfall DLP
How to Prevent Sensitive Data Exposure to AI Chatbots Like DeepSeek
Three simple DLP strategies can prevent sensitive data from getting exposed to AI chatbots like DeepSeek
Nightfall Releases the 2025 State of Secrets Exposure Report
This year's report offers a look at what changed, what stayed the same, and where you can find a little hope in the quest for effective secrets management.
What is Data Lineage and Why Does it Matter in Data Loss Prevention?
Discover what data lineage is and why combining data lineage with AI-driven classification is critical for modern DLP strategies. Learn how tracking data's origin and movement while accurately identifying sensitive content prevents leaks in SaaS, AI, and cloud environments.
Here’s What We Can Learn from the Cyberhaven Incident
In December 2024, Cyberhaven fell victim to a sophisticated cyberattack that exploited a phishing campaign targeting its Chrome Web Store account. This breach compromised over 400,000 users by injecting malicious code into its browser extension, exfiltrating sensitive data such as cookies and session tokens. The incident ...
Safetica DLP: Comprehensive Analysis & Top Alternatives in 2025
In-depth Safetica DLP guide: explore features, real-world limitations, and how it compares to modern solutions like Nightfall AI for GenAI and cloud data security.
CrowdStrike DLP: Comprehensive Review & Top Alternatives in 2025
In-depth 2025 CrowdStrike DLP guide: explore features, real-world limitations, and how it compares to modern solutions like Nightfall AI for GenAI and cloud data security.
Code42 Incydr: The Essential Analysis with 50+ FAQs and Top Alternatives
Code42 Incydr is among the legacy solutions aiming to mitigate insider threats, yet it doesn’t always meet every organization’s needs. In the following article, we examine Code42’s capabilities and limitations through a 60-question FAQ that addresses everything you'd want to know when evaluating DLP and IRM solutions.
Forcepoint DLP: Comprehensive Review and Top Alternatives in 2025
Discover Forcepoint DLP’s features, limitations, and top alternatives. Learn how AI-driven solutions like Nightfall can protect data more effectively.
Symantec DLP: Comprehensive Review and Top Alternatives in 2025
Discover Symantec DLP’s features, limitations, and top alternatives. Learn how AI-driven solutions like Nightfall can protect data more effectively.
The 12 Best Data Loss Prevention Software Solutions of 2025 and 50+ FAQs Answered
Learn more about the top 12 best data loss prevention software solutions that can help you protect sensitive data and address 50+ FAQs to guide your evaluation of the top DLP solutions.
The 7 Most Telling Data Breaches of 2024
Get the skinny on which 2024 breaches signal the biggest data security threats, trends, and shifts.
People Problem or Data Problem? Risks and Mitigation of Insider Threats
What are insider threats, and how can you defend against them?
Understanding the Limitations of Atlassian Guard DLP: What You Need to Know
Atlassian collaboration apps enable tremendous productivity, but the way most teams use them poses great risks to your data. Should you use native Atlassian DLP, or look to external cloud DLP to mitigate those risks? Take a deep dive into functionality, advantages, disadvantages, and more to find the right solution for your needs.
Loose AWS API keys: what's your real risk?
While malicious actors can gain access to systems in any number of ways, using your API key is the equivalent of walking through a wide-open door and walking in unchecked. Whoever holds that key will have direct access to what are likely your most valuable digital assets.
Intelligent Data Classification: Transforming Google Drive Security
Customers need an automated, dynamic, and human-centric cloud DLP solution to label and classify data in Google Drive.
How To Prevent Secrets Sprawl
Where are your credentials and secrets, and how are you protecting them?
DLP 101: How to Prevent Data Exfiltration in the Cloud
What is data exfiltration, and how can cloud Data Loss Prevention (DLP) help defend against it?
10 Essential Guidelines For Enterprise-Ready AI Solutions
AI-powered solutions are becoming increasingly prevalent in enterprise environments, leading to a new trend in procurement: the need for comprehensive AI governance frameworks.
Nightfall Named A Leader in Data Loss Prevention by G2
Nightfall leads the way in Data Loss Prevention Software, Data Security Software, and Sensitive Data Discovery Software.
Nightfall AI Honored as Winner of the 2024 SC Awards
Nightfall has been recognized in the Best Data Security Solution and Best Insider Threat Solution categories.
5 Steps to Send An Encrypted Email in Gmail
Discover how to send encrypted emails in Gmail using Nightfall’s AI-powered encryption tools.
Prompt Sanitization: 5 Steps for Protecting Data Privacy in AI Apps
Content filtering and prompt sanitization are key for maintaining security and trust in LLM apps.
Nightfall AI selected as 2024 SC Awards Finalist
Nightfall AI has been recognized as a 2024 SC Award finalist in the Trust Award categories for Best Data Security Solution and Best Insider Threat Solution.
DLP 101: What is data loss prevention, and why do you need it?
Learn how you can leverage data loss prevention products for continuous data security and compliance.
2024 State of Secrets Report
Do you know where your most sensitive secrets are shared across the cloud? Based on Nightfall’s latest report, odds are that some of them have slipped through the cracks.
How to Send Encrypted Emails in Gmail in 5 Easy Steps
Discover how to send encrypted emails in Gmail using Nightfall’s AI-powered encryption tools.
Let's chat at Black Hat!
Excited for Black Hat? So are we. Let's meet! We'd love to meet with you to learn more about your data security pain points and share a bit more about our AI-powered solution.
Key Learnings from the Disney Breach: 5 Ways to Stop Secret Sprawl
The Disney breach is a wake-up call for any organization that may have secrets sprawled across their tech stack.
8 Best Data Leak Prevention (DLP) Policies for Protecting Your Sensitive Data
These popular DLP policies are useful tools for protecting your sensitive data, preventing data exfiltration, securing your AI usage, and more.
Nightfall Named A Leader in Data Loss Prevention (DLP) by G2
Nightfall leads the way in G2’s Summer ‘24 reports.
Employee Spotlight: Amit Nene, Engineering Leader
Meet the newest addition to the engineering team at Nightfall AI.
Secure Your AI apps and data pipelines with Nightfall’s Firewall for AI
Nightfall’s Firewall for AI acts as a trust boundary that protects sensitive company and customer data during every stage of AI model building and consumption.
Is Slack using your data to train their AI models? Here’s what you need to know.
With Slack’s AI training policy in the spotlight, it’s time to consider how you can take security for AI into your own hands.
Building your own AI app? Here are 3 risks you need to know about—and how to mitigate them.
From training to annotation to fine-tuning and beyond, here’s how a firewall for AI can help you stay secure as you build your AI model.
5 things you need to know to build a firewall for AI
As organizations expand their use of AI apps, it's important to have a scalable data leak prevention (DLP) solution in place.
4 key takeaways from the 2024 Verizon Data Breach Investigations Report
What are the most common kinds of data breaches—and how can you protect your data against them?
Employee Spotlight: James Jaconetti, VP of Customer Success
Meet the newest addition to the Customer Success team at Nightfall AI.
Top 5 SaaS misconfigurations to avoid and why
It’s essential to be proactive about managing your security posture across SaaS apps like Google Drive and Microsoft OneDrive. Read on to learn why—and how—you can do just that.
Here’s what caused the Sisense data breach—and 5 tips for preventing it
Learn what you can do to stop data sprawl and prevent privilege escalation attacks.
Nightfall named a “Data Security Solution of the Year”
Nightfall has been named a “Data Security Solution of the Year” by the Data Breakthrough Awards.
Securing AI with Least Privilege
In the rapidly evolving AI landscape, the principle of least privilege is a crucial security and compliance consideration.
Firewalls for AI: The Essential Guide
As organizations increasingly build AI applications, firewalls for AI are an important component of modern data security strategies.
Nightfall Named A Leader in Data Loss Prevention (DLP) by G2
Nightfall leads the way in G2’s Spring ‘24 reports.
5 Expert Tips for Protecting Your Enterprise’s Sensitive Data
Join Nightfall’s investors for insights on how to defend enterprise data against new and evolving threats.
Nightfall was built on AI. Here’s how we’re advancing our mission to scale data protection in the enterprise.
As we continue to innovate, Nightfall's central mission is to empower enterprises big and small to navigate the digital world with confidence, while ensuring the security and privacy of their sensitive data.
Prevent security drift with Nightfall SaaS Security Posture Management (SSPM)
SaaS Security Posture Management, or SSPM, is a critical tool for governing data and managing risk within the enterprise.
Navigating Data Privacy for GenAI in Customer Support
As GenAI transforms customer support, data privacy remains paramount.
Nightfall AI releases GenAI-powered Sensitive Data Protection for the enterprise
From detection to remediation to education, Nightfall’s ultimate goal is to use GenAI to help security teams find peace of mind, knowing their company and customer data is secure across the cloud and beyond.
Nightfall AI launches data encryption and sensitive data protection for emails
In a world where data breaches are increasingly costly (and common), Nightfall has innovated a simpler and more streamlined solution to protecting sensitive data in emails and beyond.
Intellectual Property Theft: The Essential Guide
Learn what intellectual property theft is, common types of theft, strategies for protecting IP, and how to respond to IP theft.
Shadow AI: The Essential Guide
Shadow AI has swiftly become one of the most pressing data security risks facing modern enterprises. Learn what shadow AI is and how to combat it.
The Essential Guide to Data Loss Prevention for Financial Services and Fintech
By following these best practices, financial services and fintech companies can build robust DLP strategies that protect sensitive data, maintain regulatory compliance, and preserve customer trust.
The Essential Guide to Data Loss Prevention for Investment Firms
By following these best practices, investment firms can build robust DLP strategies that protect sensitive data, maintain regulatory compliance, and preserve customer trust.
The Essential Guide to Data Loss Prevention for Law Firms
By following these best practices, law firms can build robust DLP strategies that protect sensitive data, maintain regulatory compliance, and preserve customer trust.
The Essential Guide to Data Loss Prevention for Biotech and Pharma
By following these best practices, biotech and pharma companies can build robust DLP strategies that protect sensitive data, maintain regulatory compliance, and preserve customer trust.
The Essential Guide to Data Loss Prevention for Healthcare
By following these best practices, healthcare organizations can build robust DLP strategies that protect sensitive data, maintain regulatory compliance, and preserve customer trust.
The Essential Guide to Data Loss Prevention for Manufacturers
By following these best practices, manufacturers can build robust DLP strategies that protect sensitive data, maintain regulatory compliance, and preserve customer trust.
2025 State of Secrets Exposure Report
Learn what secret types were most exposed last year, where your greatest risks are, associated threats, how collaborative remediation impacts data hygiene, and more.
2024 State of Secrets Exposure Report
Do you know where your most sensitive secrets are shared across the cloud? Based on Nightfall’s latest report, odds are that some of them have slipped through the cracks.
Navigating Data Privacy for GenAI in Customer Support
As the adoption of generative AI (GenAI) accelerates across enterprises, one of the most promising applications emerges in customer support.
Do You Use These Top SaaS Apps? Here’s what you need to know about Data Sprawl
Nightfall’s recent “State of Secrets” report uncovered that collaboration, communication, and IT service tools have the highest risk of data exposure, particularly in industry-leading SaaS apps like Slack and GitHub.
The Essential Guide to Data Loss Prevention (DLP) for LLMs
SaaS companies can level up their features by leveraging third-party sub-processors from public models like OpenAl and Anthropic.
The Ultimate guide to security for GenAI
From customer service chatbots to enterprise search tools, companies are fervently seeking new ways to leverage both first-party and third-party LLMs to stay on the cutting edge of innovation.
The Ultimate Guide to PCI Security and Compliance
From fintech firms to retail merchants, PCI standards are nearly ubiquitous across many industries.
The Ultimate Guide to Cloud DLP for GenAI
Leverage AI and machine learning for better sensitive data detection.
Cloud DLP (Data Leak Prevention): The Essential Guide
Cloud DLP, or cloud data leak prevention (DLP), is a critical aspect of data security. Here's what you need to know about it.
The Essential Guide to Data Loss Prevention (DLP) for LLMs
Learn how to stay secure while using and building LLMs.
ChatGPT DLP (Data Loss Prevention): The Essential Guide
Learn how to minimize data exposure and maintain compliance while unlocking the benefits of ChatGPT.
Guide To HIPAA Compliance for SaaS Applications
From our security checklist learn the types of questions you should ask SaaS vendors when evaluating how a specific platform fits into your compliance program.
PCI Compliance Checklist for Modern Organizations
This checklist highlights core aspects of PCI compliance and security standards, as well as how to implement them. Read online for free.
The Business Case for Cloud DLP (Data Leak Prevention)
The expanding universe of business-critical cloud applications creates increased risk for the exposure of sensitive data learn how to mitigate this risk.
Slack DLP (Data Loss Prevention): The Essential Guide
Learn how to implement data loss prevention (DLP) on Slack, and detect leakage of sensitive data across any Slack workspace with this free online guide.
The Ultimate HIPAA Security & Compliance FAQ
HIPAA compliance is a complex topic. That’s why we’ve complied the most frequently asked questions with detailed answers.
Salesforce DLP (Data Loss Prevention): The Essential Guide
Read this online guide, for free, to learn about the problem of data exposure in Salesforce and how to ensure compliance with HIPAA, PCI, and more.
Confluence DLP (Data Loss Prevention): The Essential Guide
Read this online guide, for free, to learn how knowledge wikis like Confluence can increase the exposure risk for sensitive data like PHI, PII, and API keys.
DLP APIs (Data Loss Prevention): The Essential Guide
Learn about the growing problem of sensitive data exposure and how to use the Nightfall Developer Platform to easily identify and remediate this problem.
Google Drive DLP (Data Loss Prevention): The Essential Guide
Read this online guide, for free, to learn how large-scale collaboration in tools like Google Drive can increase exposure risk for sensitive data like PHI & PII.
The 2023 Security Playbook for Remote-First Organizations
Learn how to more securely manage your remote workforce to become a true remote-first organization.
6 Steps to Protect Google Drive with Data Loss Prevention
This guide is written to help you illustrate the potential data protection gaps in a deployment of Google Drive to your team and stakeholders.
Slack HIPAA Compliance: The Definitive Guide
Read a free, online overview of HIPAA requirements for covered entities using Slack Workspaces and what's needed to satisfy them.
GitHub DLP (Data Loss Prevention): The Essential Guide
Read this online guide, for free, to learn about the problem of secrets exposure and leakage in GitHub, as well as how to easily implement secrets detection.
Jira DLP (Data Loss Prevention): The Essential Guide
Learn how project management applications like Jira increase the exposure risk for sensitive data like secrets, PII, & more.
Cloud Security Policy Template
In this guide, we’ll break down how to create a cloud security policy and provide a free template to help you get started.
Webinar: Unlocking Complete Data Visibility with AI-Native DLP
See how Nightfall empowers SecOps teams to protect sensitive data efficiently and confidently
Webinar: Supercharging SecOps with Automation & AI
Explore how automation and AI are reshaping security operations today. And what leaders must do to strike the right balance between innovation and protection.
A Fireside Chat with Rohan Sathe and Kelvin Beachum, Jr.
Nightfall CEO and co-founder Rohan Sathe chats with NFL vet & tech investor Kelvin Beachum, Jr. on football, AI, and insights from a career in sports and in tech.
Webinar: Designing Trust: Embedding Privacy & Security Into Enterprise AI
Nightfall Head of Product Anant Mahajan and Yunique Demann, CTO TPx. discuss how security leaders enable safe, responsible AI adoption and share insights on AI governance, visibility, and innovation.
Webinar: Enabling AI Adoption with Data Security and Compliance
Rohan Sathe (CEO and Co-Founder, Nightfall AI) and Unni Patel (Senior Product Manager at Vanta) discuss how data security and continuous compliance empower organizations to safely adopt generative AI tools.
Nightfall Demo: Natural Language Detectors
Go beyond regex with Nightfall AI’s custom detectors: create prompt-based rules to detect sensitive data anywhere using natural language.
Nightfall Demo: Nyx Copilot
Meet Nyx, Nightfall’s AI copilot for DLP: your new AI teammate who understands context, works safely, and simplifies complex workflows.
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Nightfall Demo: Comprehensive AI-Powered DLP for Microsoft 365
Nightfall’s Microsoft 365 DLP uses advanced AI detection and intelligent remediation to protect sensitive data and prevent leaks across SharePoint and Exchange.
Nightfall Demo: A Unique Approach to Endpoint DLP
Nightfall’s endpoint data leak protection supported by data lineage capabilities and full coverage across all major exfiltration vectors.
Nightfall Demo: Preventing Leakage in Shadow AI Applications
Gain visibility and apply controls that safeguard against sensitive data exposure and shadow AI use while keeping teams productive with Nightfall DLP.
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Nightfall Demo: Exchange Online
See Nightfall in action and how to keep all your data safe and secure when sending and receiving emails in Exchange Online.
Build vs. Buy: Designing an Effective DLP Program in the AI Era
Nightfall AI's co-founder Rohan Sathe sits down with Confluent CISO Chris Sandulow to share their thoughts on how to choose the right DLP solution for any organization.
Nightfall AI Spring 2025 Product Launch
With our Spring 2025 Product Launch, Nightfall is redefining DLP for the age of generative AI. Learn how to secure data when using any AI apps like ChatGPT, Deepseek, Claude, Gemini and more.
Nightfall Demo: Detect & Remediate Data Exposure in SaaS
Learn how Nightfall detects and remediates sensitive data exposure in SaaS apps like Slack, Google Workspace, Atlassian, Salesforce, Microsoft 365 and more.
Nightfall Demo: Manage Sharing Permissions Settings in SaaS Apps
Manage external sharing risks in SaaS apps like Google Drive and Slack with real-time alerts, automated remediation, and data lineage.
Nightfall Demo: DLP for Gmail
Native Gmail integration scans emails inline and allows users to set up custom policies to block, quarantine, redact, and encrypt emails for a full range of email security options.
Nightfall Demo: Secure Data When Using Gen AI Tools & Chatbots
Nightfall’s endpoint agent and browser plugin keeps your data safe across AI apps. See the power of gaining full visibility and context through data lineage.
Nightfall Demo: Protecting Data in Endpoints and Browsers with AI
Nightfall prevents data exfiltration for endpoints and browsers with AI-native DLP that’s lightweight and seamless to integrate into all your systems.
Eclipse - Nyx Copilot
Meet Nyx, Nightfall’s new agentic AI copilot for DLP. Nyx works like a teammate: she understands context, acts safely, and simplifies complex workflows.
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Eclipse - A Unique Approach to Endpoint DLP
See Nightfall in action in this live demonstration of our latest data lineage capabilities and comprehensive coverage across all major exfiltration vectors.
Eclipse - Comprehensive AI-Powered DLP for Microsoft 365
See how to protect data across Microsoft Sharepoint and Exchange with Nightfall’s comprehensive M365 DLP featuring advanced AI detection and smart remediation.
Eclipse - Opening Keynote: Key Product Announcements
Nightfall co-founder and CEO Rohan Sathe shares an exclusive first look at Nightfall's latest breakthrough innovations in AI-powered DLP.
Eclipse - A Fireside Chat with Rohan Sathe & Enrique Salem
Nightfall co-founder Rohan Sathe and Enrique Salem, Partner at BCV, discuss the future of AI-powered data loss prevention from builder and investor perspectives.
Eclipse - Secure AI Adoption: Preventing Leakage in Shadow AI Applications
Learn how to implement visibility and controls that prevent sensitive data leakage to AI applications without blocking productivity with Nightfall DLP.
3 Ways to Prevent Data Exfiltration in your SaaS Apps
Data exfiltration poses a significant threat to organizations across all industries. With cybercriminals using increasingly sophisticated methods to illicitly obtain sensitive information, IT and security teams face the daunting task of protecting their digital assets against both internal and external threats. This webinar will provide your team some practical strategies to enhance your company's defenses against data exfiltration.
Protect Your Email From Sensitive Data Loss and Data Exfiltration
Email remains a critical channel for business communication and also remains a prime exfiltration and attack vector. Traditional Secure Email Gateways (SEGs) and rules-based DLP solutions are proving inadequate against data loss, exfiltration, sophisticated attacks and the complexities of modern cloud environments. Whether your organization relies on Gmail or Exchange or a hybrid email environment, Nightfall AI can protect your email against data loss and exfiltration with a comprehensive, flexible, and efficient approach to protecting your email across platforms.
Building Security at an Enterprise Scale
Nightfall for Notion DLP is purpose-built to pinpoint sensitive data across Notion workspaces. Whether you’re using Notion as an internal wiki, a note-taking app, or something more, Nightfall’s AI-powered detectors will identify and remediate high-priority risks to ensure that your business stays continuously secure and compliant as you scale.
Next-Gen Secrets Detection for the Age of AI
All employees have a part to play in keeping company secrets safe—however, developers have an outsized role due to their privileged access to sensitive databases, production systems, and source code. With these unique challenges in mind, Nightfall partnered with Snyk to offer AI-powered secrets scanning for developers working in every stage of the code-to-cloud lifecycle.
ChatGPT and Gen AI: How to Stay Secure and Compliant
Generative AI is exploding, allowing companies to do more with less. It is, however, also exposing companies to more data security risks than ever before. In our upcoming fireside chat, we'll join Enrique Salem, former CEO of Symantec, and Isaac Madan, CEO of Nightfall, to discuss the biggest security risks of Gen AI, as well as strategies you need to stay compliant without impacting employee innovation. By the end of the chat, you'll be armed with the tools you need to safely use ChatGPT and other Gen AI tools across your business. See you there!
How Security and Compliance Can Help Unlock Enterprise Customers
Security is of paramount importance for organizations trying to shorten their sales cycles and unlock enterprise clients. Learn how to use security as a differentiator in today’s challenging macroeconomic climate.
Build Continuous Security & Compliance into Your SaaS Environments
As recent trends, like supply chain attacks and cloud data leaks have made clear, continuous security and continuous data compliance must be embedded into the application, no matter where it is deployed, and who is accessing it.
Learn How to Protect Codebases from Secrets Exfiltration
Listen to Nightfall’s CTO, Rohan Sathe, and product specialist, Michael Osakwe, to learn about the increased exfiltration risks posed by code repositories. Learn how threat actors are incorporating targets like GitHub into their attacks, why this has become more common, and best practices to reduce your attack surface.
Enhance Data Governance & Intelligence across SaaS Systems
Enterprise legal, compliance, and governance teams struggle to detect, manage, govern, and protect information in near real time. Similarly, litigation, HR and investigation teams struggle with data intelligence on information they have collected from cloud applications like Slack and Google Workspace.
Learn How Bluecore Maintains Data Security on Slack with Nightfall
SaaS applications like Slack are challenging environments for enforcing data security policies. This is especially true for innovative, high-growth companies that have embraced a cloud-first philosophy.
Data Classification & Protection with the Nightfall Developer Platform
A myriad of organizations rely on Nightfall, the industry’s first cloud-native data loss prevention (DLP) solution, to implement DLP into essential cloud applications like Slack, GitHub, and Google Drive.
HIPAA Compliance Requirements & Best Practices for Slack
It's important that HIPAA covered entities interested in Slack understand what's needed to ensure they remain compliant while using the platform.
How to Discover & Protect Sensitive Data in Slack
Collaborative SaaS applications like Slack create environments where data policy and security best practices are difficult to maintain or enforce without an excessive time or resource commitment.
How to Identify & Protect Sensitive Data in AWS
Some of the biggest data leaks in history have occurred due to problems with Amazon Web Services (AWS S3), like permissions misconfigurations, secrets mismanagement, improper security configurations, or maintaining a poor visibility environment.
Securing Best of Breed SaaS Applications in 2021
The explosive growth of SaaS collaboration tools and other cloud-based platforms makes it paramount that organizations understand how to secure data in the cloud
Discover Secrets Leaks in Code Repos with Nightfall for GitHub
Git-based repositories can create environments where secrets & credentials are exposed without notice, especially in environments with lots of contributors and few guidelines regarding best practices for handling credentials or environments with external collaborators who might not be familiar with best practices
Protected Health Information (PHI) detector for digital healthcare datasheet
Healthcare organizations require an effective way to scale HIPAA compliance enforcement across their cloud applications without excessive time and resource commitment. This requires a high-accuracy solution capable of parsing context to identify PHI violations as they are defined by HIPAA
Nightfall Advanced Secrets Detection Datasheet
Exposure of secrets like API keys is a common problem that can lead to privilege escalation of security incidents if accessed by malicious actors. Addressing this problem requires a solution tuned to detect secrets in any format, wherever they are.
PCI Compliance Checklist for Modern Organizations
This checklist highlights core aspects of PCI compliance and security standards, as well as how to implement them.
Cloud Security Policy Template
Protecting your data in the cloud starts with developing a cloud security policy to govern user access, meet compliance standards, secure data in use, and maintain defenses against cyber threats.
Guide to Data Loss Prevention (DLP) for Jira
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations using SaaS applications that store high volumes of data. Companies turn to DLP solutions to discover, classify, and protect their sensitive data in environments like Jira, and maintain compliance with regimes like GDPR, CCPA, PCI, and more.
Guide to Data Loss Prevention (DLP) for Github
Learn how to detect the leakage of secrets, credentials, and other sensitive data across your code repositories with this brief guide.
Guide to HIPAA Compliance on Slack
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations regulated by HIPAA. Furthermore, healthcare teams using Slack must follow specific guidelines laid out in Slack’s Business Associate Agreement (BAA).
6 Steps to Protect Google Drive with Data Loss Protection
Google Drive is core to enabling collaboration and access to business-critical files, but it is difficult to audit which files within Google Drive have sensitive information and who has access to them.
The 2023 Security Playbook for Remote-First Organizations
Learn how to more securely manage your remote workforce to become a true remote-first organization.
Guide to Data Loss Prevention (DLP) in Google Drive
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations using SaaS applications that store high volumes of data. Companies turn to DLP solutions to discover, classify, and protect their sensitive data in environments like Google Drive, and maintain compliance with regimes like GDPR, CCPA, PCI, and more.
Data Security with the Nightfall Developer Platform
As a result of growing data breaches governments across the world are beginning to implement compliance regimes which require organizations to understand the quantity and nature of that data they’re ingesting. The Nightfall developer platform is designed to help organizations accomplish this with APIs that allow developers to stream data to our machine learning detectors for classification.
Guide to Data Loss Prevention (DLP) for Confluence
Learn how to detect the leakage of secrets and other business-critical data within Atlassian Confluence
Guide To HIPAA Compliance for SaaS Applications
SaaS applications enable healthcare organizations to leverage digital transformation to improve healthcare outcomes and change lives, but ensuring your organization remains compliant while adopting cloud applications can prove challanging.
The Business Case for Cloud Data Protection
As organizations continue to rapidly adopt SaaS and cloud infrastructure, IT and security teams are becoming stretched. The expanding universe of business-critical cloud applications creates increased risk for the exposure of sensitive data like PII, PHI, as well as secrets and credentials. Cloud data protection is essential to ensuring employees follow best practices for handling sensitive data and that systems are configured in a manner that prevents unauthorized access.
Guide To Data Loss Prevention (DLP) for Salesforce
Learn how to discover and prevent the leakage of customer information and other business-critical data within Salesforce
HIPAA Security Rule Implementation Specification Matrix
In order to fulfill the HIPAA Security Rule, covered entities and business associates must evaluate the implementation specifications or requirements listed under each Security Rule Safeguard in order to determine how best satisfy each. We’ve built out a matrix to explain each individual HIPAA Security Rule requirement in plain English.
The Ultimate HIPAA Security & Compliance FAQ
HIPAA compliance is a complex topic. That’s why we’ve complied the most frequently asked questions with detailed answers to help guide you through the compliance process.
Guide to Data Loss Prevention (DLP) for Slack
Data loss prevention (DLP) is an important part of data security and compliance in the cloud. Companies turn to DLP solutions to discover, classify, and protect their sensitive data in collaborative environments like Slack, and maintain compliance with regimes like HIPAA, GDPR, CCPA, PCI, and more.
Intellectual Property Theft: The Essential Guide
Learn what intellectual property theft is, common types of theft, strategies for protecting IP, and how to respond to IP theft.
Shadow AI: The Essential Guide
Shadow AI has swiftly become one of the most pressing data security risks facing modern enterprises. Learn what shadow AI is and how to combat it.
The Essential Guide to Data Loss Prevention for Financial Services and Fintech
By following these best practices, financial services and fintech companies can build robust DLP strategies that protect sensitive data, maintain regulatory compliance, and preserve customer trust.
The Essential Guide to Data Loss Prevention for Investment Firms
By following these best practices, investment firms can build robust DLP strategies that protect sensitive data, maintain regulatory compliance, and preserve customer trust.
The Essential Guide to Data Loss Prevention for Law Firms
By following these best practices, law firms can build robust DLP strategies that protect sensitive data, maintain regulatory compliance, and preserve customer trust.
The Essential Guide to Data Loss Prevention for Biotech and Pharma
By following these best practices, biotech and pharma companies can build robust DLP strategies that protect sensitive data, maintain regulatory compliance, and preserve customer trust.
The Essential Guide to Data Loss Prevention for Healthcare
By following these best practices, healthcare organizations can build robust DLP strategies that protect sensitive data, maintain regulatory compliance, and preserve customer trust.
The Essential Guide to Data Loss Prevention for Manufacturers
By following these best practices, manufacturers can build robust DLP strategies that protect sensitive data, maintain regulatory compliance, and preserve customer trust.
2025 State of Secrets Exposure Report
Learn what secret types were most exposed last year, where your greatest risks are, associated threats, how collaborative remediation impacts data hygiene, and more.
2024 State of Secrets Exposure Report
Do you know where your most sensitive secrets are shared across the cloud? Based on Nightfall’s latest report, odds are that some of them have slipped through the cracks.
Navigating Data Privacy for GenAI in Customer Support
As the adoption of generative AI (GenAI) accelerates across enterprises, one of the most promising applications emerges in customer support.
Do You Use These Top SaaS Apps? Here’s what you need to know about Data Sprawl
Nightfall’s recent “State of Secrets” report uncovered that collaboration, communication, and IT service tools have the highest risk of data exposure, particularly in industry-leading SaaS apps like Slack and GitHub.
The Essential Guide to Data Loss Prevention (DLP) for LLMs
SaaS companies can level up their features by leveraging third-party sub-processors from public models like OpenAl and Anthropic.
The Ultimate guide to security for GenAI
From customer service chatbots to enterprise search tools, companies are fervently seeking new ways to leverage both first-party and third-party LLMs to stay on the cutting edge of innovation.
The Ultimate Guide to PCI Security and Compliance
From fintech firms to retail merchants, PCI standards are nearly ubiquitous across many industries.
The Ultimate Guide to Cloud DLP for GenAI
Leverage AI and machine learning for better sensitive data detection.
Cloud DLP (Data Leak Prevention): The Essential Guide
Cloud DLP, or cloud data leak prevention (DLP), is a critical aspect of data security. Here's what you need to know about it.
The Essential Guide to Data Loss Prevention (DLP) for LLMs
Learn how to stay secure while using and building LLMs.
ChatGPT DLP (Data Loss Prevention): The Essential Guide
Learn how to minimize data exposure and maintain compliance while unlocking the benefits of ChatGPT.
Guide To HIPAA Compliance for SaaS Applications
From our security checklist learn the types of questions you should ask SaaS vendors when evaluating how a specific platform fits into your compliance program.
PCI Compliance Checklist for Modern Organizations
This checklist highlights core aspects of PCI compliance and security standards, as well as how to implement them. Read online for free.
The Business Case for Cloud DLP (Data Leak Prevention)
The expanding universe of business-critical cloud applications creates increased risk for the exposure of sensitive data learn how to mitigate this risk.
Slack DLP (Data Loss Prevention): The Essential Guide
Learn how to implement data loss prevention (DLP) on Slack, and detect leakage of sensitive data across any Slack workspace with this free online guide.
The Ultimate HIPAA Security & Compliance FAQ
HIPAA compliance is a complex topic. That’s why we’ve complied the most frequently asked questions with detailed answers.
Salesforce DLP (Data Loss Prevention): The Essential Guide
Read this online guide, for free, to learn about the problem of data exposure in Salesforce and how to ensure compliance with HIPAA, PCI, and more.
Confluence DLP (Data Loss Prevention): The Essential Guide
Read this online guide, for free, to learn how knowledge wikis like Confluence can increase the exposure risk for sensitive data like PHI, PII, and API keys.
DLP APIs (Data Loss Prevention): The Essential Guide
Learn about the growing problem of sensitive data exposure and how to use the Nightfall Developer Platform to easily identify and remediate this problem.
Google Drive DLP (Data Loss Prevention): The Essential Guide
Read this online guide, for free, to learn how large-scale collaboration in tools like Google Drive can increase exposure risk for sensitive data like PHI & PII.
The 2023 Security Playbook for Remote-First Organizations
Learn how to more securely manage your remote workforce to become a true remote-first organization.
6 Steps to Protect Google Drive with Data Loss Prevention
This guide is written to help you illustrate the potential data protection gaps in a deployment of Google Drive to your team and stakeholders.
Slack HIPAA Compliance: The Definitive Guide
Read a free, online overview of HIPAA requirements for covered entities using Slack Workspaces and what's needed to satisfy them.
GitHub DLP (Data Loss Prevention): The Essential Guide
Read this online guide, for free, to learn about the problem of secrets exposure and leakage in GitHub, as well as how to easily implement secrets detection.
Jira DLP (Data Loss Prevention): The Essential Guide
Learn how project management applications like Jira increase the exposure risk for sensitive data like secrets, PII, & more.
Cloud Security Policy Template
In this guide, we’ll break down how to create a cloud security policy and provide a free template to help you get started.
Webinar: Unlocking Complete Data Visibility with AI-Native DLP
See how Nightfall empowers SecOps teams to protect sensitive data efficiently and confidently
Webinar: Supercharging SecOps with Automation & AI
Explore how automation and AI are reshaping security operations today. And what leaders must do to strike the right balance between innovation and protection.
A Fireside Chat with Rohan Sathe and Kelvin Beachum, Jr.
Nightfall CEO and co-founder Rohan Sathe chats with NFL vet & tech investor Kelvin Beachum, Jr. on football, AI, and insights from a career in sports and in tech.
Webinar: Designing Trust: Embedding Privacy & Security Into Enterprise AI
Nightfall Head of Product Anant Mahajan and Yunique Demann, CTO TPx. discuss how security leaders enable safe, responsible AI adoption and share insights on AI governance, visibility, and innovation.
Webinar: Enabling AI Adoption with Data Security and Compliance
Rohan Sathe (CEO and Co-Founder, Nightfall AI) and Unni Patel (Senior Product Manager at Vanta) discuss how data security and continuous compliance empower organizations to safely adopt generative AI tools.
Nightfall Demo: Natural Language Detectors
Go beyond regex with Nightfall AI’s custom detectors: create prompt-based rules to detect sensitive data anywhere using natural language.
Nightfall Demo: Nyx Copilot
Meet Nyx, Nightfall’s AI copilot for DLP: your new AI teammate who understands context, works safely, and simplifies complex workflows.
Nightfall Demo: Comprehensive AI-Powered DLP for Microsoft 365
Nightfall’s Microsoft 365 DLP uses advanced AI detection and intelligent remediation to protect sensitive data and prevent leaks across SharePoint and Exchange.
Nightfall Demo: A Unique Approach to Endpoint DLP
Nightfall’s endpoint data leak protection supported by data lineage capabilities and full coverage across all major exfiltration vectors.
Nightfall Demo: Preventing Leakage in Shadow AI Applications
Gain visibility and apply controls that safeguard against sensitive data exposure and shadow AI use while keeping teams productive with Nightfall DLP.
Nightfall Demo: Exchange Online
See Nightfall in action and how to keep all your data safe and secure when sending and receiving emails in Exchange Online.
Build vs. Buy: Designing an Effective DLP Program in the AI Era
Nightfall AI's co-founder Rohan Sathe sits down with Confluent CISO Chris Sandulow to share their thoughts on how to choose the right DLP solution for any organization.
Nightfall AI Spring 2025 Product Launch
With our Spring 2025 Product Launch, Nightfall is redefining DLP for the age of generative AI. Learn how to secure data when using any AI apps like ChatGPT, Deepseek, Claude, Gemini and more.
Nightfall Demo: Detect & Remediate Data Exposure in SaaS
Learn how Nightfall detects and remediates sensitive data exposure in SaaS apps like Slack, Google Workspace, Atlassian, Salesforce, Microsoft 365 and more.
Nightfall Demo: Manage Sharing Permissions Settings in SaaS Apps
Manage external sharing risks in SaaS apps like Google Drive and Slack with real-time alerts, automated remediation, and data lineage.
Nightfall Demo: DLP for Gmail
Native Gmail integration scans emails inline and allows users to set up custom policies to block, quarantine, redact, and encrypt emails for a full range of email security options.
Nightfall Demo: Secure Data When Using Gen AI Tools & Chatbots
Nightfall’s endpoint agent and browser plugin keeps your data safe across AI apps. See the power of gaining full visibility and context through data lineage.
Nightfall Demo: Protecting Data in Endpoints and Browsers with AI
Nightfall prevents data exfiltration for endpoints and browsers with AI-native DLP that’s lightweight and seamless to integrate into all your systems.
Eclipse - Nyx Copilot
Meet Nyx, Nightfall’s new agentic AI copilot for DLP. Nyx works like a teammate: she understands context, acts safely, and simplifies complex workflows.
Eclipse - A Unique Approach to Endpoint DLP
See Nightfall in action in this live demonstration of our latest data lineage capabilities and comprehensive coverage across all major exfiltration vectors.
Eclipse - Comprehensive AI-Powered DLP for Microsoft 365
See how to protect data across Microsoft Sharepoint and Exchange with Nightfall’s comprehensive M365 DLP featuring advanced AI detection and smart remediation.
Eclipse - Opening Keynote: Key Product Announcements
Nightfall co-founder and CEO Rohan Sathe shares an exclusive first look at Nightfall's latest breakthrough innovations in AI-powered DLP.
Eclipse - A Fireside Chat with Rohan Sathe & Enrique Salem
Nightfall co-founder Rohan Sathe and Enrique Salem, Partner at BCV, discuss the future of AI-powered data loss prevention from builder and investor perspectives.
Eclipse - Secure AI Adoption: Preventing Leakage in Shadow AI Applications
Learn how to implement visibility and controls that prevent sensitive data leakage to AI applications without blocking productivity with Nightfall DLP.
3 Ways to Prevent Data Exfiltration in your SaaS Apps
Data exfiltration poses a significant threat to organizations across all industries. With cybercriminals using increasingly sophisticated methods to illicitly obtain sensitive information, IT and security teams face the daunting task of protecting their digital assets against both internal and external threats. This webinar will provide your team some practical strategies to enhance your company's defenses against data exfiltration.
Protect Your Email From Sensitive Data Loss and Data Exfiltration
Email remains a critical channel for business communication and also remains a prime exfiltration and attack vector. Traditional Secure Email Gateways (SEGs) and rules-based DLP solutions are proving inadequate against data loss, exfiltration, sophisticated attacks and the complexities of modern cloud environments. Whether your organization relies on Gmail or Exchange or a hybrid email environment, Nightfall AI can protect your email against data loss and exfiltration with a comprehensive, flexible, and efficient approach to protecting your email across platforms.
Building Security at an Enterprise Scale
Nightfall for Notion DLP is purpose-built to pinpoint sensitive data across Notion workspaces. Whether you’re using Notion as an internal wiki, a note-taking app, or something more, Nightfall’s AI-powered detectors will identify and remediate high-priority risks to ensure that your business stays continuously secure and compliant as you scale.
Next-Gen Secrets Detection for the Age of AI
All employees have a part to play in keeping company secrets safe—however, developers have an outsized role due to their privileged access to sensitive databases, production systems, and source code. With these unique challenges in mind, Nightfall partnered with Snyk to offer AI-powered secrets scanning for developers working in every stage of the code-to-cloud lifecycle.
ChatGPT and Gen AI: How to Stay Secure and Compliant
Generative AI is exploding, allowing companies to do more with less. It is, however, also exposing companies to more data security risks than ever before. In our upcoming fireside chat, we'll join Enrique Salem, former CEO of Symantec, and Isaac Madan, CEO of Nightfall, to discuss the biggest security risks of Gen AI, as well as strategies you need to stay compliant without impacting employee innovation. By the end of the chat, you'll be armed with the tools you need to safely use ChatGPT and other Gen AI tools across your business. See you there!
How Security and Compliance Can Help Unlock Enterprise Customers
Security is of paramount importance for organizations trying to shorten their sales cycles and unlock enterprise clients. Learn how to use security as a differentiator in today’s challenging macroeconomic climate.
Build Continuous Security & Compliance into Your SaaS Environments
As recent trends, like supply chain attacks and cloud data leaks have made clear, continuous security and continuous data compliance must be embedded into the application, no matter where it is deployed, and who is accessing it.
Learn How to Protect Codebases from Secrets Exfiltration
Listen to Nightfall’s CTO, Rohan Sathe, and product specialist, Michael Osakwe, to learn about the increased exfiltration risks posed by code repositories. Learn how threat actors are incorporating targets like GitHub into their attacks, why this has become more common, and best practices to reduce your attack surface.
Enhance Data Governance & Intelligence across SaaS Systems
Enterprise legal, compliance, and governance teams struggle to detect, manage, govern, and protect information in near real time. Similarly, litigation, HR and investigation teams struggle with data intelligence on information they have collected from cloud applications like Slack and Google Workspace.
Learn How Bluecore Maintains Data Security on Slack with Nightfall
SaaS applications like Slack are challenging environments for enforcing data security policies. This is especially true for innovative, high-growth companies that have embraced a cloud-first philosophy.
Data Classification & Protection with the Nightfall Developer Platform
A myriad of organizations rely on Nightfall, the industry’s first cloud-native data loss prevention (DLP) solution, to implement DLP into essential cloud applications like Slack, GitHub, and Google Drive.
HIPAA Compliance Requirements & Best Practices for Slack
It's important that HIPAA covered entities interested in Slack understand what's needed to ensure they remain compliant while using the platform.
How to Discover & Protect Sensitive Data in Slack
Collaborative SaaS applications like Slack create environments where data policy and security best practices are difficult to maintain or enforce without an excessive time or resource commitment.
How to Identify & Protect Sensitive Data in AWS
Some of the biggest data leaks in history have occurred due to problems with Amazon Web Services (AWS S3), like permissions misconfigurations, secrets mismanagement, improper security configurations, or maintaining a poor visibility environment.
Securing Best of Breed SaaS Applications in 2021
The explosive growth of SaaS collaboration tools and other cloud-based platforms makes it paramount that organizations understand how to secure data in the cloud
Discover Secrets Leaks in Code Repos with Nightfall for GitHub
Git-based repositories can create environments where secrets & credentials are exposed without notice, especially in environments with lots of contributors and few guidelines regarding best practices for handling credentials or environments with external collaborators who might not be familiar with best practices
Protected Health Information (PHI) detector for digital healthcare datasheet
Healthcare organizations require an effective way to scale HIPAA compliance enforcement across their cloud applications without excessive time and resource commitment. This requires a high-accuracy solution capable of parsing context to identify PHI violations as they are defined by HIPAA
Nightfall Advanced Secrets Detection Datasheet
Exposure of secrets like API keys is a common problem that can lead to privilege escalation of security incidents if accessed by malicious actors. Addressing this problem requires a solution tuned to detect secrets in any format, wherever they are.
PCI Compliance Checklist for Modern Organizations
This checklist highlights core aspects of PCI compliance and security standards, as well as how to implement them.
Cloud Security Policy Template
Protecting your data in the cloud starts with developing a cloud security policy to govern user access, meet compliance standards, secure data in use, and maintain defenses against cyber threats.
Guide to Data Loss Prevention (DLP) for Jira
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations using SaaS applications that store high volumes of data. Companies turn to DLP solutions to discover, classify, and protect their sensitive data in environments like Jira, and maintain compliance with regimes like GDPR, CCPA, PCI, and more.
Guide to Data Loss Prevention (DLP) for Github
Learn how to detect the leakage of secrets, credentials, and other sensitive data across your code repositories with this brief guide.
Guide to HIPAA Compliance on Slack
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations regulated by HIPAA. Furthermore, healthcare teams using Slack must follow specific guidelines laid out in Slack’s Business Associate Agreement (BAA).
6 Steps to Protect Google Drive with Data Loss Protection
Google Drive is core to enabling collaboration and access to business-critical files, but it is difficult to audit which files within Google Drive have sensitive information and who has access to them.
The 2023 Security Playbook for Remote-First Organizations
Learn how to more securely manage your remote workforce to become a true remote-first organization.
Guide to Data Loss Prevention (DLP) in Google Drive
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations using SaaS applications that store high volumes of data. Companies turn to DLP solutions to discover, classify, and protect their sensitive data in environments like Google Drive, and maintain compliance with regimes like GDPR, CCPA, PCI, and more.
Data Security with the Nightfall Developer Platform
As a result of growing data breaches governments across the world are beginning to implement compliance regimes which require organizations to understand the quantity and nature of that data they’re ingesting. The Nightfall developer platform is designed to help organizations accomplish this with APIs that allow developers to stream data to our machine learning detectors for classification.
Guide to Data Loss Prevention (DLP) for Confluence
Learn how to detect the leakage of secrets and other business-critical data within Atlassian Confluence
Guide To HIPAA Compliance for SaaS Applications
SaaS applications enable healthcare organizations to leverage digital transformation to improve healthcare outcomes and change lives, but ensuring your organization remains compliant while adopting cloud applications can prove challanging.
The Business Case for Cloud Data Protection
As organizations continue to rapidly adopt SaaS and cloud infrastructure, IT and security teams are becoming stretched. The expanding universe of business-critical cloud applications creates increased risk for the exposure of sensitive data like PII, PHI, as well as secrets and credentials. Cloud data protection is essential to ensuring employees follow best practices for handling sensitive data and that systems are configured in a manner that prevents unauthorized access.
Guide To Data Loss Prevention (DLP) for Salesforce
Learn how to discover and prevent the leakage of customer information and other business-critical data within Salesforce
HIPAA Security Rule Implementation Specification Matrix
In order to fulfill the HIPAA Security Rule, covered entities and business associates must evaluate the implementation specifications or requirements listed under each Security Rule Safeguard in order to determine how best satisfy each. We’ve built out a matrix to explain each individual HIPAA Security Rule requirement in plain English.
The Ultimate HIPAA Security & Compliance FAQ
HIPAA compliance is a complex topic. That’s why we’ve complied the most frequently asked questions with detailed answers to help guide you through the compliance process.
Guide to Data Loss Prevention (DLP) for Slack
Data loss prevention (DLP) is an important part of data security and compliance in the cloud. Companies turn to DLP solutions to discover, classify, and protect their sensitive data in collaborative environments like Slack, and maintain compliance with regimes like HIPAA, GDPR, CCPA, PCI, and more.
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Vulnerability Management Lifecycle, Process, and Best Practices
The vulnerability management lifecycle reflects the fact that cyber defense is a full-time occupation. Vulnerability management should be iterative, with constant monitoring, documentation, and review of your organization's security protocols and defense. From updating your software to recording new patches, vulnerability management is a constant process that benefits from automated tools like Nightfall.
5 Types of Social Engineering Attacks and How to Mitigate Them
Social engineering is a type of cyber attack that targets people to gain access to buildings, systems, or data. Social engineering attacks exploit human vulnerabilities to get inside a company’s IT system, for instance, and access its valuable information.
7 Indicators of Compromise: The Essential List for Breach Detection
Indicators of compromise are the red flags of the information security world. These helpful warnings allow trained professionals to recognize when a system may be under attack or if the attack has already taken place, providing a way to respond to protect information from extraction.
How to secure codebases from secrets exfiltration
The Nightfall blog is a knowledgebase for cybersecurity professionals with news and insights from the world of cloud security. Each week we’re publishing new content to help you stay up-to-date on cybersecurity topics and to prepare you for the issues and threats that occur every day on the job.
How to Comply with Facebook’s New Data Protection Assessment
Recently, Facebook announced a new initiative aimed at protecting how its users’ data is managed across its platforms: the Data Protection Assessment. The assessment consists of a questionnaire for apps that access advanced permissions and specifically focuses on how developers protect, share and use platform data.
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Developing Secure Web Applications: 6 Best Practices
When businesses think about maintaining cybersecurity, the first thing that comes to mind is often endpoint and network security. However, web application security is becoming increasingly important. There have been numerous high-profile attacks on web applications in recent years; in 2020, for instance, the Twitter accounts of famous people were compromised as part of a bitcoin scam.
Nightfall’s data protection & classification platform enables SOC 2 compliance
Security teams that work in highly regulated industries or build solutions for consumers must adhere to compliance controls and regimes required for their business. One of the most important compliance requirements for many companies is the SOC 2 audit. The SOC 2 audit provides detailed information and quality assurance about essential security factors such as the confidentiality of data under your organization's stewardship, privacy controls, and many other standards.
ICYMI: 4 lessons for securing codebases from secrets exfiltration
Last month we hosted a webinar dedicated to discussing the issue of codebase security. As trends like secrets and credential exfiltration continue to be of concern within systems like GitHub, threats, such as cryptojacking and supply side attacks, have become more of a problem.
Prevent secrets, credentials, and PII leaking in application logs with the Nightfall Developer Platform
Infosec leaders have a lot of corners to cover in their cybersecurity strategy. When crafting the tactics and onboarding the platforms that will protect sensitive information, the checklist of requirements could be missing a very important vector for attack, compliance risk or data loss: application logs.
The NIST Cybersecurity Framework: Security Checklist And Best Practices
The National Institute of Standards and Technology (NIST) is part of the US Department of Commerce and was founded in 1901. NIST was originally established to help the U.S. industry become more competitive with economic rivals and peers, such as the UK and Germany. NIST prioritizes developing measurements, metrics, and standards for technology used in different industries.
Preventing data loss in data warehouses with the Nightfall Developer Platform
Data warehouses power your data analysis and business intelligence operations so you can level up your knowledge and progress toward bigger business goals. Like any key component of your tech stack, using data warehouses effectively also requires care and caution — especially when uploading and sharing sensitive information.
What can we learn from the top 100 data breaches of the past 15+ years?
The Nightfall blog is a knowledgebase for cybersecurity professionals with news and insights from the world of cloud security. Each week we’re publishing new content to help you stay up-to-date on cybersecurity topics and to prepare you for the issues and threats that occur every day on the job.
GLBA Compliance Checklist: Keeping Financial Data Safe And Secure
GLBA compliance isn’t something to take lightly. These measures are strictly enforced by the Federal Trade Commission (FTC). In 2018, for instance, Venmo and its parent company PayPal reached a settlement after complaints about the company’s handling of privacy disclosures.
What is a Cyber Security Playbook and How Can it Benefit Your Security Program?
You probably don’t need anyone to tell you that, today, infosec and cybersecurity are challenging and fast-paced endeavors. In the last five years alone, we’ve seen a myriad of industry altering developments — from an ever expanding universe of privacy compliance legislation and the permanent entrenchment of hybrid and remote work, to growth in the size and scope of data breaches — the world of security has proven ever complex and ever-shifting.
NIST vs ISO Compliance: What's the Difference?
As businesses and health organizations seek to strengthen cybersecurity, they’re turning frequently to compliance frameworks to help prioritize, guide, and improve decision-making and implementation. Two of the more popular compliance frameworks are the NIST CSF and the ISO 27001.
How does sensitive information end up in observability platforms?
Observability (logs, traces, metrics) is a core tenet to building strong software systems. Logs are used to debug issues and check on system activity, traces provide valuable insights into system performance and architecture, and metrics allow engineering teams to closely track business metrics within their systems.
What is Data Exfiltration?
Data exfiltration, quite simply, is the risk of your data ending up somewhere it doesn’t belong. Though this definition might seem simple, understanding this risk is quite complicated — especially as companies migrate their data into the cloud. Companies that work remotely using cloud platforms like Google Drive, AWS, or Jira often struggle to maintain the visibility needed to ensure their data remains secure. This increases the risk of data exfiltration, which can often go undetected for weeks, if not longer.
How Penetration Testing Helps Cloud DLP
The market for penetration testing is expected to reach $3.1 billion by 2027, rising at a market growth of 12% CAGR during this time. Fueled by the rising number of mega-breaches and more sophisticated attacks, IT teams are taking a more proactive approach, using penetration testing to validate and improve their security configurations.
Distributed Tracing with Datadog
Here at Nightfall we ensure that we are always using the most appropriate technology and tools while building services. Our architecture involves serverless functions, relational and NoSQL databases, Redis caches, Kafka and microservices written in Golang and deployed in a Kubernetes cluster. To effectively monitor and easily troubleshoot our services, we use distributed tracing across our services.
How To Manage The Hidden Impacts of Data Leak With Cloud DLP
Data leaks are a type of data loss threat that often fly under the radar — making them potentially more damaging than a malware or ransomware attack. Compared to data breaches, data leaks put customer information at risk accidentally. Data leaks can lead to credit card fraud, extortion, stolen IP, and further attacks by cybercriminals who seek to take advantage of security misconfigurations.
ICYMI: 5 Major Considerations for Slack Security in 2022
We hosted a webinar alongside Bluecore CISO Brent Lassi to discuss data security risks facing high-growth organizations like his on SaaS systems like Slack. Watch the following clips to learn 5 important lessons about Slack and SaaS security that are worth keeping in mind this year.
Data Loss Prevention (DLP) for Salesforce
Salesforce houses high volumes of customer information, support tickets, quotes and files, synced emails, tasks & notes, and much more. This data can often be accessed by teams across the company who may leverage Salesforce to provide prospects and customers with a great customer experience.
Protected Health Information (PHI) detector for digital healthcare datasheet
Healthcare organizations require an effective way to scale HIPAA compliance enforcement across their cloud applications without excessive time and resource commitment. This requires a high-accuracy solution capable of parsing context to identify PHI violations as they are defined by HIPAA
Guide to HIPAA Compliance on Slack
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations regulated by HIPAA. Furthermore, healthcare teams using Slack must follow specific guidelines laid out in Slack’s Business Associate Agreement (BAA).
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Guide to Data Loss Prevention (DLP) for Jira
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations using SaaS applications that store high volumes of data. Companies turn to DLP solutions to discover, classify, and protect their sensitive data in environments like Jira, and maintain compliance with regimes like GDPR, CCPA, PCI, and more.
Guide to Data Loss Prevention (DLP) in Google Drive
Data loss prevention (DLP) is an important part of data security and compliance in the cloud, especially for organizations using SaaS applications that store high volumes of data. Companies turn to DLP solutions to discover, classify, and protect their sensitive data in environments like Google Drive, and maintain compliance with regimes like GDPR, CCPA, PCI, and more.
Data Security with the Nightfall Developer Platform
As a result of growing data breaches governments across the world are beginning to implement compliance regimes which require organizations to understand the quantity and nature of that data they’re ingesting. The Nightfall developer platform is designed to help organizations accomplish this with APIs that allow developers to stream data to our machine learning detectors for classification.
The Business Case for Cloud Data Protection
As organizations continue to rapidly adopt SaaS and cloud infrastructure, IT and security teams are becoming stretched. The expanding universe of business-critical cloud applications creates increased risk for the exposure of sensitive data like PII, PHI, as well as secrets and credentials. Cloud data protection is essential to ensuring employees follow best practices for handling sensitive data and that systems are configured in a manner that prevents unauthorized access.
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