Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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 Mac DLP market with its API-first, cloud-native architecture that aligns perfectly with Apple's modern security model, offering real-time protection across SaaS, AI tools, and endpoints without the kernel-level complications of legacy solutions. This comprehensive guide evaluates all top 10 solutions and answers the critical questions security teams need to make informed decisions.

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.

Key insights from a fireside chat between Nightfall CEO Rohan Sathe and cybersecurity veteran Enrique Salem, Partner at BCV and Nightfall investor Twenty years ago, enterprise security teams scrambled to address shadow IT as employees brought consumer applications into the workplace. Today, we're witnessing the same phenomenon with AI tools—what we now call shadow AI. The fundamental question remains unchanged: What happens to our data?

The traditional network perimeter is dead. Your sensitive data now travels paths that legacy DLP solutions can't see—from Salesforce to Google Drive, across laptops, into personal Dropbox accounts, and through AI chatbots. No single traditional DLP catches all of this. We're at a turning point where shadow AI and rapid data movements expose blind spots that legacy solutions simply can't address. The reality?

AI has become essential infrastructure for modern business. What started as pilot programs has evolved into production deployments across business functions, fundamentally changing how work gets done. While this transformation drives significant productivity gains, it creates a fundamental security challenge that traditional data loss prevention (DLP) approaches can't address.