Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Everyone's racing to use AI right now. But securing AI adoption while maintaining productivity—getting visibility into shadow AI, educating employees without blocking innovation, and building governance that actually works—is harder than it looks. We recently hosted a discussion between Anant Mahajan, Head of Product at Nightfall, and Yunique Demann, VP of Information Security at TPx, to dig into the practical realities of AI governance.

The Workday breach isn't just another security incident—it's a blueprint for how modern attackers are systematically dismantling traditional Data Loss Prevention (DLP) strategies. When a company renowned for security excellence falls victim to social engineering that bypasses every conventional control, it's time to fundamentally rethink your approach.

This summer has been big for Nightfall. From launching Nyx, our AI copilot for DLP, to expanding our detection capabilities across more platforms, we’re making it easier than ever for security teams to protect sensitive data without slowing down work. In this update, you’ll find new AI-driven features and platform enhancements designed to make your DLP workflows smarter, faster, and more precise.

Everyone’s racing to build copilots right now. But making an agentic AI that feels like a trusted teammate—one that understands context, acts safely, and simplifies complex workflows—is harder than it looks. While building Nyx, our agentic AI copilot for security teams, our team spent a lot of time thinking about how to make her an effective team member - skilled and trustworthy.