When agents can act, should governance become an engineering control plane?
Many_Audience7660 · reddit · 2026-09-06
The author argues that once an AI agent gets access to databases, APIs and internal tools, the hard questions shift from hallucination to ownership, permissions, autonomous action scope, versioning and auditability. A policy saying "agents shouldn't do X" is fundamentally different from having a system that actually prevents, evaluates, tracks or flags X.
He explores the idea of an Agent Control Plane — identity, access, evaluations, deployment stages and auditability wired into the agent lifecycle itself — and surveyed approaches like Lyzr, distinguishing it from observability tools such as Langfuse, which solve tracing rather than control. Open question: should agent governance live outside the agent as a compliance function, or become an actual engineering layer between the agent and the systems it can act on?
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