AI compliance means meeting the growing set of laws, regulations and standards that govern how AI is built and used. This guide explains what it covers, the key regulations and frameworks, and how to build an AI compliance program that satisfies several regimes at once. It's the broad companion to our guide to the EU AI Act and pairs with AI governance.
AI compliance is the practice of ensuring an organisation's AI systems meet the applicable legal, regulatory and standards requirements — from the EU AI Act and India's DPDP Act to ISO/IEC 42001 and sector rules. It covers knowing which obligations apply to each system, meeting them, and being able to prove it. As AI regulation multiplies, compliance is shifting from a legal afterthought to an operational discipline.
The two are closely linked. AI compliance is about meeting external rules; AI governance is the internal system — policies, roles, assessments and controls — that makes compliance happen consistently. Good AI governance is how you achieve AI compliance without reinventing the wheel for every new regulation.
A growing market of AI compliance and governance tools helps automate the inventory, assessments, control mapping and evidence. They're useful for scale — but software organises compliance, it doesn't make the judgement calls. The strongest programs pair tooling with expertise.
There are two kinds: organisational certification against ISO/IEC 42001 (independent proof your company governs AI), and professional credentials for individuals. See our guide to AI governance certification.
Organisations operating across regions face the EU AI Act, India's DPDP Act, US state laws and sector rules at once. The efficient answer is not one compliance project per regulation but one control framework — aligned to ISO/IEC 42001 and the NIST AI RMF — mapped to all of them. Govern once, evidence everywhere. Start with the EU AI Act compliance checklist.
AramGRC gives you a single AI compliance program mapped to the EU AI Act, ISO/IEC 42001, the NIST AI RMF and India's DPDP and sector rules — inventory, assessments, controls and audit-ready evidence, backed by expertise.
Ensuring an organisation's AI systems meet the applicable laws, regulations and standards — the EU AI Act, ISO/IEC 42001, the NIST AI RMF, India's DPDP Act and sector rules — and being able to prove it.
The EU AI Act, ISO/IEC 42001 (a standard), the NIST AI RMF, India's DPDP Act and AI guidelines, and various US state laws and sector rules.
AI compliance is meeting external rules; AI governance is the internal system of policies, roles and controls that makes compliance consistent and provable.
Yes — tools that automate AI inventory, risk and impact assessments, regulatory control mapping and evidence. They help at scale, but don't replace governance and expert judgement.
Inventory your AI, map the obligations for each system, run a gap assessment, implement controls, keep an evidence trail, and monitor continuously — ideally on one control framework mapped to every regime you face.
What the EU AI Act is, the risk categories, obligations, timeline and penalties.
A step-by-step guide and checklist to comply with the EU AI Act.
The four risk tiers, prohibited practices and high-risk AI systems.
What providers and deployers of high-risk AI must do.
The phased dates — and what the 2026 Digital Omnibus changed.
Fines up to €35M or 7% of global turnover — the full structure.
AI compliance across the EU AI Act, ISO 42001, NIST AI RMF and India's DPDP.
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