CyberHappenings logo

Track cybersecurity events as they unfold. Sourced timelines. Filter, sort, and browse. Fast, privacy‑respecting. No invasive ads, no tracking.

Network-based Data Loss Prevention for Generative AI Platforms

First reported
Last updated
1 unique sources, 1 articles

Summary

Hide ▲

Organizations are increasingly adopting generative AI platforms like ChatGPT, Gemini, Copilot, and Claude, which introduce new data leak prevention challenges. Traditional data loss prevention (DLP) tools often fail to detect sensitive information shared through these platforms. Solutions like Fidelis Network® Detection and Response (NDR) offer network-based DLP to monitor, enforce policies, and audit GenAI use, addressing these gaps. Fidelis NDR identifies threats as they traverse the network, analyzing traffic patterns even if the content is encrypted. This approach shifts the focus from endpoints to visibility across the entire traffic path, ensuring comprehensive data loss prevention for generative AI.

Timeline

  1. 29.08.2025 13:30 1 articles · 1mo ago

    Fidelis NDR Introduces Network-based DLP for Generative AI Platforms

    Fidelis Network® Detection and Response (NDR) has introduced network-based data loss prevention (DLP) to monitor and control generative AI (GenAI) activity. This solution addresses the gaps left by traditional DLP tools, which often fail to detect sensitive information shared through GenAI platforms like ChatGPT, Gemini, Copilot, and Claude. Fidelis NDR analyzes traffic patterns to identify threats, even if the content is encrypted, ensuring comprehensive data loss prevention for generative AI.

    Show sources

Information Snippets