AI Rewrites Data Loss Prevention as Context Replaces Rules
Source: SiliconANGLE
Security vendors are replacing DLP's decades-old signature-matching approach with large language models that understand intent and context. The shift addresses the core problem that made rule-based DLP a productivity tax: it couldn't distinguish between a legitimate research file shared with a partner and actual intellectual property theft. LLM-based DLP can make that distinction. Incumbents with existing customer relationships (Forcepoint, Symantec, Proofpoint) and well-funded generalists (Microsoft, Google) have structural advantages over pure-play DLP startups from the previous cycle.