The Prism Podcast
AI-generated audio companions to the Prism Configuration Management for AI Agents series. One episode per post, building toward the white paper finale.
The missing twin of agentic governance. Four disciplines ported from enterprise IT and financial-services operational risk — Baseline, Change Control, Drift Detection, Audit and Remediation — and the Key Risk Indicator tier model that lets governance run at the speed of the agent.
Related reading: Configuration Management for AI Agents (Part 2) →The latency-gap argument and the observability-theater framing — why the disciplines that close the gap already exist in financial-services KRIs and enterprise IT configuration management.
Related reading: Observability Isn't Governance (Part 1) →A first-person field case — how a self-imposed, fabricated constraint moved the Prism Chief of Staff agent outside its baseline for a full session with no governance signal.
Related reading: A Hallucination on Our Own Stack (Bonus) →
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Orientation for the series. The central problem in agentic AI and why configuration management discipline is the operational layer that closes it. Start here if the CM-AI Framework is new to you.
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