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AI Agent Security Requires Systems-Level Controls, Not Human Review
- Platform/SRE — Learn: The incident data on 17,600 attacker actions is a useful framing for why platform-level controls (observation, constraint, blast-radius limiting) matter for agentic workloads, but there is no deployment action or deadline here — useful for teams beginning to run AI agents on shared infrastructure.
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- Leader — Learn: Relevant context for leaders setting AI adoption standards: the argument that agent governance requires systemic controls, not per-action review, shapes how to frame agentic AI policy, but no licensing, cost, or vendor decision is forced by this piece.
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