Agentic at Scale — Page 4

Agents need enforceable policies, not just model instructions, to contain LLM risks.

Enforce policies at tool-call time before agents act on malicious instructions.

Autonomous agents with unapproved access pose active infrastructure risks, not passive data leaks.

Enterprises need tiered agent permissions based on risk, not identical governance for all.

Enterprises must rebuild golden paths to enforce explicit guardrails on AI agents, not humans.

Governance and access controls, not model weakness, explain why enterprise AI agents fail.