Practical perspectives on AI governance, risk management, and compliance. Written for practitioners in regulated industries — not consultants selling you a framework.
A practical comparison for compliance officers choosing between the two dominant AI governance frameworks. When to use each, how they complement each other, and why most regulated enterprises need both.
Most AI risk registers are compliance theater. Here's what auditors actually look for — and the five elements that turn a risk register from a checkbox into a working control document.
HIPAA was not written for AI. This is the governance gap keeping healthcare CISOs and compliance officers up at night — and the framework approach that closes it before regulators step in.
The Federal Reserve's model risk management guidance predates large language models. This guide maps SR 11-7 requirements to modern AI systems and identifies where traditional MRM frameworks fall short.
CMMC focuses on cybersecurity, but AI systems introduce new risks that existing controls don't address. A guide to layering AI governance requirements onto existing CMMC compliance programs.
The organizational infrastructure required to sustain an AI governance program. Who should be in the room, what authority the committee needs, and the agenda for the first three months.
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