Practical guides to AI regulation, compliance frameworks, and governance platforms — EU AI Act, US state & federal law, ISO/IEC 42001, NIST AI RMF, and the tooling landscape.
A practical map of California's layered AI regime — who each rule applies to, what it requires, and when it bites.
The Generative AI Measures, deep-synthesis and algorithm rules, and the 2025 labelling standard, plus what actually applies to non-Chinese providers.
Article 13 requires high-risk AI systems to be transparent enough for deployers to use them responsibly. This guide explains what that means in practice, what documentation you need to write, and what...
The EU AI Act does not kick in all at once, and the schedule changed in 2026. This guide maps every obligation to its current enforcement date and tells you what your team needs to have ready before e...
What Annex III providers must actually build to meet the risk management, data governance, documentation, oversight and robustness requirements before the December 2027 deadline.
The three-tier fine structure under Article 99, who enforces what, and the mechanics of an investigation.
The EU and UK deliberately chose different approaches to AI regulation. This guide explains the practical differences, which obligations apply where, and what you need if you deploy in both markets.
A step-by-step guide to determining where your AI product sits in the EU AI Act risk tiers, with the classification test, worked examples, and common mistakes to avoid.
Texas took a light-touch, intent-based approach — heavy duties for government, narrow prohibitions for everyone. Here is what applies from January 1, 2026.
How the first comprehensive US state AI law was delayed, enjoined, and then repealed and replaced before it ever took effect — and what actually applies now.
A voluntary framework, three chapters, and a practical route for general-purpose AI providers to demonstrate Chapter V compliance.
There is still no comprehensive federal AI statute. Instead, teams face executive orders, a preemption push against state laws, and sector regulators — here is the map.
Five cross-sectoral principles, existing regulators, the Regulating for Growth Bill, and why the UK still has no horizontal AI Act.
A practical clause-by-clause guide to ISO 42001 certification readiness, with notes on what evidence auditors actually accept and the gaps most organisations miss.
Already certified for ISO 27001? This guide shows exactly what ISO 42001 adds, what you can reuse from your existing ISMS, and how to plan a combined certification programme.
The NIST AI Risk Management Framework is solid in theory and vague in practice. This guide shows how to actually implement it in a product team's sprint cadence, with concrete templates and ownership ...
MEASURE is the most concrete of the four AI RMF functions. Here is what to actually track, how to choose metrics, which tools help, and how to know when a number means you have a problem.
Model monitoring and AI governance are different problems. This guide explains what each category of tool covers, how the leading platforms compare, and how to choose the right combination for your co...
Credo AI is a leading AI governance platform, but its policy pack configuration for specific regulatory frameworks is poorly documented. This guide covers what Credo AI actually does, how to map it to...
When you deploy AI from a vendor, you inherit part of their AI risk. This guide covers the questions to ask, the documents to request, and the red flags to watch for when evaluating AI suppliers under...
A practical, vendor-neutral look at IBM's AI governance platform for model lifecycle governance, risk, and regulatory mapping.
Model monitoring, audit trails, and controls-based assurance with a strong insurance and financial-services focus.
How OneTrust extends its privacy and GRC platform into AI governance, and where it fits for the enterprise.
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