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5 articles from Crelis on Large Language Models. Most recent: “State of Agentic AI Security and Governance: What the 2026 Report Records”.
OWASP gives teams a dated field reference for agentic AI risk, not proof that a live action was authorised.
OWASP maps agentic AI risks; it does not prove who authorised a payment, record change, or refund.
An LLM judge can return a different verdict on the same facts tomorrow; a deterministic policy engine returns the same decision each time and can name the rule that made it — that difference decides w
Your autonomous agents are making decisions your legal team cannot defend. Speed is a poor substitute for security. You recognize the inherent danger in non-deterministic systems. A single unauthorize
The gap between an AI's proposal and an enterprise's permission is where catastrophic liability lives. Trust is a systemic vulnerability. You recognize that LLM agents exhibit unpredictable emergent b