agent identity

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Identity and Permissions Aren’t Enough to Govern AI Agent Behavior

A VentureBeat article published in partnership with Box argues that identity and permissions aren’t enough to govern AI agent behaviour, because access controls decide what an agent can reach while saying nothing about what it should do once inside. Built around an interview with Box CISO Heather Ceylan, the piece proposes execution governance: task-scoped permissions minted per task, a content layer whose classification and metadata are enforced rather than advisory, a three-tier approval model sorted by reversibility, and behavioural baselines built for agents rather than people. This article walks through the argument, the SailPoint survey numbers behind it, the 2026 sandbox-escape incidents that made it concrete, and how it interlocks with agent identity and runtime trust.

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AI Agents Need Their Own Identity Before They Need a Gateway

A pair of VentureBeat guest essays argue that AI agents need their own identity before they need a gateway: a proxy can only enforce what it can attribute, and most organisations have no agent identity layer to attribute anything to. This piece explains the borrowed-token problem, the six-gate dependency-gated deployment model that puts the gateway fifth, the LiteLLM CVE-2026-42271 warning, the 2026 survey data on the machine-identity gap (109 machine identities per human, 68% unable to tell agents from people), what Okta, Microsoft, Cloudflare, Kong, the IETF and NIST have shipped, and a 30-day plan a UK business can run without buying anything.

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