
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.

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.
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 ...

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.

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.

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.

Databases are great targets for hackers and cybercriminals. There’s a wealth of information that can be gained by infiltrating a database, from proprietary intellectual property to customer data to financial records. One of the reasons why database security is so difficult is known as “Anderson’s rule” — that the more useable and more accessible the database, the more vulnerable it is to security threats.

Nightfall is a data security vendor that integrates with our customers’ third party applications (Slack, Google Drive, Github, Jira etc) to, on a continuous real-time basis, scan all content being added to these applications for sensitive data.

The risks of a data leak have never been higher. Over the last year, data breach costs rose from $3.86 million to $4.24 million, a record high. Data exfiltration, sophisticated hacker attacks, and even insider threats are forcing organizations across the board to take a more sophisticated, multi-layered approach to data security.

Data loss prevention (DLP) refers to a category of tools and technologies that classify, detect, and protect information (data) in three states: data in use, data at rest, and data in motion. The purpose of DLP is to enforce corporate data security policies that govern where data does — and doesn’t — belong.

In this tutorial, we'll demonstrate how easy it is to redact sensitive data and give you a more in-depth look at various redaction techniques, how Nightfall's data loss prevention (DLP) API works, and touch upon use cases for redaction techniques.

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

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.

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.

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.

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.

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!

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
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).
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.
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.

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.
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.

