The higher the risk, the more requirements.

Not every AI system is regulated in the same way - and that’s one of the key principles behind the EU AI Act. The Act takes a risk-based approach, meaning the regulatory requirements depend on the potential risk associated with how an AI system is used. For high-risk AI systems, this can mean requirements around: → Risk management → Data quality and governance → Documentation & traceability → Human oversight → Accuracy & robustness → Cybersecurity → Transparency And it doesn't stop at the technology itself. Organisations also need to think about how AI is being used, what risks it creates and how those risks are managed throughout its lifecycle. With the AI Act's rules now progressively applying, understanding where your AI use sits within the risk framework is becoming increasingly important for businesses. The big question isn't simply "Are we using AI?" It's: "What AI are we using, what risk does it create - and what do we need to have in place because of it?" Sources: ↳ https://commission.europa.eu/news-and-media/news/safer-and-more-secure-digital-products-2026-09-11_en?utm_ ↳ https://artificialintelligenceact.eu/ai-act-explorer/ ↳ https://www.enisa.europa.eu/news/the-cra-single-reporting-platform-is-launched? #EUAIAct #AICompliance #AI #ArtificialIntelligence #Compliance #RiskManagement #DataGovernance #CyberSecurity #QMS #QHub