AI Governance in 2026: Navigating the EU AI Act, GDPR, and SOC 2 Compliance
The EU AI Act is now enforceable for high-risk systems. GDPR's reach into automated decision-making is expanding. And SOC 2 auditors are starting to ask about AI model governance. Here's what enterprise AI teams need to do before their next audit.
Norvik Research & Practice Team
The regulatory environment for enterprise AI has become materially more complex in the past twelve months. The EU AI Act's requirements for high-risk AI systems are now enforceable. GDPR's Article 22 — the right not to be subject to solely automated decisions — is being interpreted more broadly by EU data protection authorities. And SOC 2 frameworks are evolving to include AI-specific controls.
EU AI Act: What High-Risk Means in Practice
The Act defines high-risk AI systems across eight domains including employment, credit scoring, and critical infrastructure. If your AI system makes or meaningfully influences a decision that affects a person's employment, creditworthiness, or access to essential services, it likely qualifies. The obligations include: maintaining technical documentation, implementing human oversight mechanisms, ensuring logging of system activity, and conducting conformity assessments.
GDPR and Automated Decision-Making
Article 22 gives EU data subjects the right not to be subject to decisions based solely on automated processing that produce legal or similarly significant effects. Most enterprise AI systems are designed to support human decisions, not replace them — but the documentation of that human oversight needs to be robust. 'A human reviewed it' is no longer sufficient; you need to show that the human had meaningful agency to override the system.
Build your AI governance framework around explainability, documentation, and human oversight — these three pillars satisfy the intent of every major regulatory framework.
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