
BYOD — whether instituted as a formal policy or as an adaptation to the pandemic — opens a company’s systems and platforms up to hacking, data loss, and insider threat. IT teams need to be aware of these critical BYOD security concerns, as well as implement best practices to mitigate the risks associated with shadow IT.

Cloud security. Cloud architecture. Cloud storage. As you start scaling your business, you know “the cloud” is an important element of your IT capabilities. But, it can be a little confusing to understand the ins and outs of “the cloud” — especially when it comes to using cloud-based tools for your company to work remotely.

At the end of 2020, we hosted a webinar alongside Sisense's Chief Security & Trust Officer, Ty Sbano titled Securing Best of Breed SaaS applications in 2021. The discussion focused on reviewing the most important security trends of last year and how that should inform security programs this year. As 2021 continues to progress, these are the 4 trends and lessons we think are worth keeping in mind.

If the last year has taught us anything, “hope for the best and plan for the worst” should be the new mantra of business owners and IT professionals. No one could have predicted the global pandemic that wreaked havoc on industries and businesses around the world; yet, those companies with a business continuity plan were far better off than those without one.

Compliance regimes may seem burdensome, but the goal of these policies is to prevent a devastating data breach that can bankrupt a business and cause myriad problems for consumers. It’s important to understand the differences between compliance and security, as well as how data loss prevention (DLP) allows your organization to accomplish both objectives efficiently and affordably.

The Nightfall blog is a resource for information security professionals to learn more about the challenges we face in the industry. Every week, Nightfall publishes news and insights from the world of cloud security to help you stay current with the cybersecurity world and better prepare for threats before they become serious problems.

Strong data loss prevention (DLP) requires a multifaceted process that requires layering tools, policies, and approaches. In addition to having a range of network, endpoint, and cloud DLP solutions in place, businesses need a strong foundation of policies, guiding principles, and rules underpinning the approach to data security.

In a recent survey, 84% of organizations reported finding it difficult to maintain security configurations across their cloud services. Organizations across industries are struggling to protect their valuable information, in part because they don’t understand the extent of security measures built-in to cloud platforms. As a result, Gartner predicts that 95% of all cloud security failures (through 2020) will be primarily the customer’s fault.

Data loss prevention solutions have evolved significantly in recent years, with cloud DLP providing a cutting-edge solution to protecting sensitive data many companies share over SaaS, IaaS, and PaaS platforms. Here’s what you need to know about data loss prevention and how to implement strict controls in your business.

Slack as a product is constantly expanding with new functionality and integrations. Slack Connect is among the most popular new features Slack introduced in the past year and is growing in popularity because it’s an easy way to stay connected with people you work with outside your organization — in real time with all the features that Slack offers.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

