NIST AI Risk Management Framework: A Practical Walkthrough
The four functions (Govern, Map, Measure, Manage), how to apply the framework to a real organization, and why it's becoming the de facto AI governance standard.
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Articles, guides, and perspectives on HIPAA, CMMC, ITAR, AI governance, cybersecurity, and privacy — written for leaders navigating modern compliance.
The four functions (Govern, Map, Measure, Manage), how to apply the framework to a real organization, and why it's becoming the de facto AI governance standard.
The risks executives don't see when deploying AI in healthcare. ChatGPT in clinical settings, AI scribes, ambient listening, and BAA gaps.
FedRAMP impact levels, the authorization process, the cost and timeline, and the relationship to other federal frameworks.
What new defense contractors need to understand: DFARS, CMMC, DIBNet, FedRAMP overlap, and where to start when entering DoD work.
Checklist-style article aimed at C-suite. Practical questions to bring to AI vendor pitches and internal AI proposals.
Flow-down requirements, how primes audit subs, the SBOM expectation, and what subcontractors need to prepare for.
The architecture of a real compliance program: governance, risk assessment, policies, controls, evidence, incident response. What good looks like.
Definition, why it matters now, the relationship to data governance and compliance, and what an AI governance program actually contains.
Plans of Action and Milestones in CMMC 2.0, when they're permitted, the specific controls eligible for POA&Ms, and time limits.
The expansion from CCPA to CPRA, new rights for consumers, new obligations for businesses, and the California Privacy Protection Agency.
When BAAs are required for AI tools, when they aren't, what to do when a vendor refuses to sign one, and the gray areas regulators are still working out.
The contract-driven decision framework. How to read your contract to determine your CMMC level, what each level requires, and the cost difference.