Nightfall has introduced Nightfall Nyx, an AI-native Data Loss Prevention (DLP) platform designed to revolutionize data protection through autonomous threat detection and policy optimization. As the first of its kind in the DLP market, Nyx blends advanced AI detection with agentic intelligence to automate insider threat detection, streamline investigations, and continually refine security policies—marking a major leap toward proactive and scalable data security.
Traditional DLP tools are often hindered by static rules, high false positive rates, and heavy reliance on manual oversight, leaving organizations vulnerable to sophisticated data threats. Nyx addresses these limitations by operating as a real-time AI security copilot that learns and adapts. It eliminates alert fatigue by filtering noise, classifying intellectual property and sensitive content instantly, and understanding context such as file lineage, behavior patterns, and data flow.
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“Security teams are drowning in alerts while sophisticated insider threats slip through legacy DLP systems,” said Rohan Sathe, CEO and Co-founder of Nightfall. “When analysts spend hours investigating false positives only to discover that real threats went undetected because they didn’t match a predefined pattern, organizations aren’t just losing time—they’re losing control over their most sensitive data. Nightfall Nyx gives security teams an intelligent partner that not only catches what traditional tools miss but gets smarter with every investigation, turning weeks of manual forensics into minutes of focused response.”
Nyx’s key capabilities include a built-in AI copilot for natural language analysis, LLM-powered threat detection across platforms, persistent memory for ongoing investigations, and contextual risk scoring. The platform integrates seamlessly across SaaS, endpoints, browsers, email, and Shadow AI environments—delivering a unified, intelligent, and continuously evolving defense against modern data risks.