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AI Agent Lifecycle Governance: From Design to Decommissioning

This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.

AI agent lifecycle governance is the practice of defining, enforcing, and eventually revoking an AI agent's authority at every stage of its existence — design, development, pre-deployment testing, deployment, runtime, continuous monitoring, and decommissioning. It treats an agent's permissions, cre…

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  1. 2026-08-27 21:15 · DEV Community — AI
    AI Agent Lifecycle Governance: From Design to Decommissioning

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