AI Compliance Insights
Practical guides on EU AI Act compliance, AI governance, and building audit-ready evidence trails for regulated industries.
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EU AI Act Article 17 Checklist: What Providers Must Implement Before 2026
An execution-ready Article 17 checklist for high-risk AI providers: scoping, control mapping, lifecycle controls, post-market operations, and audit evidence design.
France and prEN 18286: What the National Debate Means for EU Providers
A neutral analysis of the French mirror-committee debate on prEN 18286 and what it signals for SME proportionality, standards quality, and implementation strategy across EU member states.
EU AI Act Standards Ecosystem: Why prEN 18286 Is Not a Solo Standard
A practical map of supporting standards around prEN 18286, including risk management, trustworthiness, cybersecurity, data governance, and conformity assessment dependencies.
Accountable Autonomy: Oversight for AI Agents
The debate around human oversight is often framed as a false binary: humans review every decision or AI operates autonomously. Effective oversight is about having the right controls at the right moments with clear accountability. This is accountable autonomy.
Article 17 Mapping in prEN 18286: Coverage, Gaps, and Audit Implications
How to read Annex ZA mapping in the prEN 18286 enquiry draft, where coverage is strong, where dependencies remain, and how to build defensible compliance evidence.
AI Agent Audit Trails: From Logs to Evidence
Every organization running AI agents has logs, traces, and metrics. Yet this abundance of data often fails to answer fundamental audit questions. The gap between operational logging and audit-grade evidence requires rethinking what we capture, how we store it, and how we verify integrity.
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