As generative AI (GenAI) becomes more widely used, cases of confidential documents or sensitive information being exposed through prompt inputs or model outputs are increasing. Traditional keyword or regex-based solutions rely solely on pattern matching, which causes them to miss critical information or trigger unnecessary blocking that disrupts usability.
Effective GenAI security requires more than simple blocking. It requires understanding content in context and accurately identifying and classifying sensitive information. When network traffic is monitored end-to-end, and when the system leverages the contextual understanding, it becomes possible to detect modified, paraphrased, or semantically similar expressions that would otherwise slip through traditional tools.
By combining the NDR’s packet-level analysis with Fasoo AI-R DLP’s AI-driven sensitive data classification, organizations can gain a far more accurate and reliable security framework.
Through this approach, organizations can:
When implementing GenAI security, the critical question is not simply how to block information, but how to understand which information is truly sensitive and ensure it is protected, even when rephrased or partially modified.
AI-R DLP x NDR delivers a next-generation GenAI security framework that spans both network and data layers, safeguarding sensitive information across the entire AI workflow.
