• Treat AI agents as semi‑autonomous users, enforcing rules at identity, tool, data, and output boundaries. • Assign narrow job scopes and run agents under user‑level identities, limiting cross‑tenant access. • Pin toolchains, approve versions, and restrict new tools-treat them like a supply chain. • Require explicit human approval for high‑impact actions and record the rationale. • Leverage frameworks such as Google SAIF and NIST AI access‑control guidance for implementation. • CEOs should audit agent lists, permissions, and enforce governance to mitigate agent risk.
Article Summaries:
- Sponsored From guardrails to governance: A CEO’s guide for securing agentic systems A practical blueprint for companies and CEOs that shows how to secure agentic systems by shifting from prompt tinkering to hard controls on identity, tools, and data. Provided byProtegrity The previous article in this series, “Rules fail at the prompt, succeed at the boundary,” focused on the first AI-orchestrated espionage campaign and the failure of prompt-level control. This article is the prescription. The question every CEO is now getting from their board is some version of: What do we do about agent risk?
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