Forensic Summary
Agentic AI systems deployed in security operations and enterprise workflows are increasingly executing autonomous decisions at machine speed, using LLM-derived confidence regardless of context accuracy. The core security risk is that incomplete, poisoned, or manipulated context fed to these agents produces confidently wrong actions executed without human review. Defenders face a compounded threat: adversaries can now target the context layer—asset inventories, threat feeds, exposure data—to induce systematic misconfiguration or inaction at scale.
Read the full technical deep-dive on Grid the Grey: https://gridthegrey.com/posts/first-look-agentic-ai-soc-systems-ship-autonomous-decision-making-at-machine/
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