Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Nightfall

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.

Nightfall's new GenAI detectors are revolutionizing the cloud DLP landscape. Here's how.

Nightfall AI is excited to announce a new generation of detectors powered by generative AI (GenAI). Read on to learn more about recent advancements in our PII, PHI, secrets, and images detectors—as well as how they stack up against competitors like AWS Comprehend, Google DLP, and Microsoft Purview.

Understanding precision, recall, and false discovery in machine learning models

There are various ways to measure any given machine learning (ML) model’s ability to produce correct predictions, depending on the task that the system performs. Named Entity Recognition (NER) is one such task, in which a model identifies spans of sensitive data within a document. Nightfall uses NER models extensively to detect sensitive data across cloud apps like Slack, Microsoft Teams, GitHub, Jira, ChatGPT, and more.

Nightfall AI Launches Human Firewall Feature to Help SecOps Teams Tackle High-Volume Alerts with Velocity

Nightfall AI announces that it's rolling out a new human firewall feature for top SaaS apps like Slack, Microsoft Teams, GitHub, and more. This new feature helps to expedite SecOps workflows by involving employees directly in the remediation process. Nightfall customers can start using the human firewall feature for supported cloud applications starting today.

Introducing Cloud DLP for Microsoft Teams

San Francisco, CA, November 2, 2023—Nightfall AI, the leader in cloud data leak prevention (cloud DLP), announced the launch of the industry’s only AI-native DLP solution for popular communication app Microsoft Teams. Microsoft Teams continues to grow as a top enterprise collaboration tool, with over 300 million monthly active users reported in Q3 of 2023. As the dominant communication app in highly regulated industries (e.g.

Nightfall Launches Cloud DLP for Microsoft Teams

San Francisco, CA, November 2, 2023—Nightfall AI, the leader in cloud data leak prevention (cloud DLP), announced the launch of the industry’s only AI-native DLP solution for popular communication app Microsoft Teams. Microsoft Teams continues to grow as a top enterprise collaboration tool, with over 300 million monthly active users reported in Q3 of 2023. As the dominant communication app in highly regulated industries (e.g.

3 Things You Need to Know About the Okta Breach

In a recent security breach, a threat actor with stolen credentials was able to access Okta’s support case management system. That support case management system contained several HAR files, or HTTP Archive files, in support tickets. A HAR file is a JSON-based file format that records and stores detailed information about the interactions between a web browser and a website.