Check Point Launches Dangerous Deviation Detection for AI Agents
Check Point has introduced a Dangerous Deviation Detection capability that intercepts AI agent tool calls before execution, evaluating whether proposed actions align with the original task intent and flagging operations involving data leakage, privilege escalation, or resource destruction. This closes a meaningful gap for defenders by providing a structured enforcement layer between an agent's decision and its real-world action, addressing both prompt-injection-driven misbehaviour and organic task scope creep. Residual maturity questions remain around integration breadth, model-version drift management, and the operational discipline required to build genuinely least-privilege agent architectures at scale.
