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Endpoint-native data loss prevention now classifies and governs what AI agents do with sensitive data the instant they touch it, tracks that data through format changes designed to evade scanners, and produces incident reports within minutes with no prior knowledge
KazaSec's take
AI-related security incidents are a genuinely new category, prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
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