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Agentic AI governance starts with identity
The latest AI risk conversation is not only about prompts. Security teams need named agent identities, scoped tools, logs, and revocation paths.
The latest AI risk conversation is not only about prompts. Security teams need named agent identities, scoped tools, logs, and revocation paths.
The 2026 simplification package changes the timeline for some high-risk systems, but it does not change the work security teams need to do.
Agents that read email, call APIs, and write to systems inherit access decisions. That makes agent security an IAM problem, not only a prompt problem.
Machine identities now outnumber humans by a wide margin, but many programs still govern them like temporary exceptions.
Third-party AI risk is not solved by asking more questions. The useful signal is in logs, access boundaries, data use, model change control, and incident evidence.