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TL;DR: treat agent deployments as security exposures and implement controls accordingly—assume active adversaries and misaligned behavior.
TL;DR: treat agent deployments as security exposures and implement controls accordingly—assume active adversaries and misaligned behavior.
HBR presents a governance-driven perspective on agentic AI risks, likening certain agent behaviors and threat models to malware. The core problem is organizational: how to contain agent risks with policies, controls, and oversight. The methodology is analogy-driven but policy-relevant, aiming to translate technical concerns into actionable risk containment steps.
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