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Agentic AI Security: Wrong Context, Wrong Decisions at Machine Speed
Agentic AI systems in cybersecurity operate autonomously and quickly but depend entirely on the context they receive. Incomplete or inaccurate context leads to confident but wrong decisions, risking catastrophic outcomes. Current SOC AI often lacks explainability and human oversight, while alternative approaches gather comprehensive context and provide explainable recommendations without autonomous action. Agentic AI systems act autonomously and quickly based on the context provided but can confidently make incorrect decisions if the context is incomplete or inaccurate. In cybersecurity SOCs, agentic AI receives raw alerts without expert triaging and makes decisions accepted by management without visible reasoning.