Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Latest Posts

Reduce insider risk with Nightfall Data Exfiltration Prevention

Nearly one third of all data breaches are caused by insiders. While you might immediately think of malicious insiders, like disgruntled or departing employees, insider risk can take numerous forms, including: From these examples alone, it’s easy to see just how prevalent insider risk really is. Whether it’s intentional or unintentional, insider risks often have the same consequences as external risks, including data leaks, data loss, noncompliance, and more.

Nightfall AI Transforms Enterprise DLP with AI-Native Platform

Nightfall AI today unveiled new capabilities to transform data security for the modern enterprise. The industry's first generative AI (GenAI) DLP platform now offers coverage for SaaS Security Posture Management (SSPM), data encryption, data exfiltration prevention and sensitive data protection. These products expand the company's existing suite of data leak prevention (DLP) solutions for protecting data at rest and in use across SaaS applications, GenAI tools, email and endpoints.

Nightfall expands its platform to meet modern enterprise DLP challenges

Legacy data leak prevention (DLP) solutions are failing. Simply put, they weren’t built for business environments rooted in SaaS apps and generative AI (GenAI) tools. Meanwhile, security threats are evolving at a breakneck pace, with as many as 95% of enterprises experiencing multiple breaches a year. New attack surfaces are unfurling at a rapid rate following the switch to hybrid and cloud-based workspaces.

Done with traditional DLP? Here's how generative AI can help.

Since the widespread migration to the cloud, DLP has become an essential—yet often dreaded—tool for protecting data from leaks, breaches, exfiltration, and more. It’s no secret that traditional DLP solutions have a less-than-stellar reputation. Security teams are squeezed tighter than ever in terms of time and resources. Needless to say, adding more alerts on top of already daunting workloads is less than ideal. It’s time for a smarter, more sustainable form of DLP.

4 Tips For Staying Ahead of Cybersecurity Threats in 2024

As we kick off the new year, we're excited to look back on all that we learned in 2023. This past year saw some momentous advancements, including the large-scale adoption of generative AI (GenAI). However, it also saw some devastating data breaches. According to IBM’s latest “Cost of a Data Breach” report, 95% of studied companies experienced a breach in 2023.

Streamline your security workflows with these 3 shortcuts in Tines

Looking for ways to simplify your cloud DLP workflows in 2024? Read on for 3 ways that Tines—our go-to secure workflow builder—can make your resolutions a reality. First, let’s learn a little about how Tines works. In short, Tines helps users to create “stories” (aka workflows) that streamline communications, automate tasks, and more. Tines stories can take any number of twists and turns by: But how can you put these actions into practice?

The ultimate guide to cloud DLP for GenAI

How many of us use ChatGPT? And how many of us use SaaS applications as part of our daily workflows? Whether you know it or not, if you use either of these tools, your data has likely traveled beyond the boundaries of your “fort.” What do I mean by “fort,” exactly? For this guide, consider your “fort” to be somewhere where you can monitor and secure your data. When data leaks outside your “fort,” it presents a myriad of possible risks.

Nightfall named a 2024 leader in Data Loss Prevention (DLP)

It’s official: Nightfall has been named as a leader in Data Loss Prevention (DLP), data security, and sensitive data discovery by G2’s peer-reviewed marketplace. At Nightfall, our goal is to help customers to discover, classify, and protect their sensitive data across the cloud.