Recording pending
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Why Governance Breaks Before the Model Does
Chapters
This briefing argues that production AI systems usually fail first at the governance layer, not because the model is inaccurate, but because access, approvals, and audit boundaries were never designed properly.
Once AI can act, governance becomes part of the engineering stack. It is no longer a separate policy conversation.
That is why identity, scope, and trust boundaries need to be designed early instead of after the first deployment scare.
Key Takeaways
- Governance failures usually surface before model failures in production.
- Identity and access boundaries should be designed as engineering primitives.
- Approval and audit paths determine whether enterprises will trust agentic systems.