From Policy to Proof: Nine Disciplines for Governing Enterprise AI

Govern AI with confidence. Move faster because of it.
Two out of three CIOs and CTOs say they're accountable for AI systems they don't fully control. You have the committee, the policy, and the sign-off process. But when the board, a regulator, or a customer asks you to prove it's all working, can you?
Most can't. And that gap does more than create risk. It slows everything down. Teams hesitate to approve new AI use cases, security reviews drag on, and promising pilots stall because no one can say with certainty what's safe. The companies pulling ahead aren't the ones with the longest policies. They're the ones who can prove their controls work, so they can say yes to AI faster.
From Policy to Proof is the practical playbook for the executives who own that gap. Written by Eddie Borrero, Principal AI Data Officer at Cyera, it shows you how to turn governance from a brake into an accelerator.
Inside, you'll learn how to:
- See everything. Find every AI system across all three fronts: the platforms you build on purpose, the copilots employees adopt on their own, and the coding assistants and agents developers wire into production.
- Assign real ownership. Put one named owner on each of nine disciplines, from Discovery & Accountability to Incident Response, along with the one question each executive should be able to answer.
- Govern what's actually happening. Build a living map of every AI system and agent, including the data each one can reach, so decisions run on reality instead of what was approved last quarter.
- Stop starting over. Map your program once to NIST AI RMF, the EU AI Act, ISO 42001, MITRE ATLAS, and OWASP, so a new standard never means a new program.
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