Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For CISOs planning cloud migrations: Your decade of Jira and Confluence data contains thousands of exposed credentials, patient records, and payment card numbers. Here's how to clean it up and secure it after migration.

This blog post is adapted from a recent episode of The Cloudcast podcast featuring Rohan Sathe, CEO and co-founder of Nightfall AI. Listen to the full conversation here. Your employees are uploading company documents to ChatGPT. Your healthcare teams are transcribing sensitive call recordings and feeding them into LLMs. Your finance department is pasting confidential spreadsheets into publicly accessible AI tools. And unless you have visibility into these workflows, you have no idea it's happening.

Here's the latest product news and updates from Nightfall at a glance.

Last week, Palantir filed a lawsuit in Manhattan federal court alleging that two former senior engineers used Slack to transfer confidential documents - including healthcare demonstration frameworks, revenue cycle diagrams, and customer deployment plans - the day after one of them gave notice. The documents were allegedly accessed later on a personal phone. The engineers had since joined Percepta, a competing AI startup backed by General Catalyst that emerged from stealth mode in October.

A new class of AI-powered browsers are rewriting the rules of data security. While CISOs focus on traditional vectors, employees are unknowingly creating permanent backdoors to your most sensitive data through browsers that remember everything, sync everywhere, and share it all with AI models. The bottom line: If you're not actively protecting against AI browser exfiltration, you're already leaking data. Here's why it's happening, what it costs, and how to stop it today.

As organizations evaluate modern DLP solutions, the gap between vendor promises and operational reality becomes critical. Through analysis of organizations running Cyberhaven - including several evaluating migration to Nightfall - we've discovered systematic challenges that impact security effectiveness, operational efficiency, and business productivity. This analysis provides CISOs and security leaders with crucial insights for making informed DLP decisions.

Nightfall delivers the most comprehensive endpoint DLP in 2025 by combining lightweight agents with cloud-native architecture, protecting Windows, Mac, endpoints while uniquely preventing data leaks to AI tools with 95% accuracy.

With Mimecast's acquisition of Code42, enterprise security teams are discovering what many already suspected: their insider risk platform has fundamental limitations that no amount of tuning can fix. Real customers are reporting critical gaps that leave organizations vulnerable, while security teams drown in noise and manual processes. If you're experiencing these frustrations, you're not alone.

Nightfall leads the 2025 Windows DLP market with its unified cloud-native architecture that delivers enterprise-grade endpoint protection without the bloat of legacy solutions, offering real-time AI-powered detection across all exfiltration vectors with >95% precision. This comprehensive guide evaluates the top 10 solutions and answers critical questions security teams need for Windows data protection.