The EU AI Act: what it means and how to comply (www.techradar.com)

The EU AI Act’s core provisions came into force on August 2, imposing the world’s most explicit legal requirements for “high‑risk” AI systems and mandating AI‑specific cybersecurity protections—against data/model poisoning, adversarial examples, confidentiality attacks and model flaws—across the entire product lifecycle. Crucially, the Act requires continuous assurance (not one‑off audits): ongoing accuracy, robustness and security monitoring, rigorous logging, post‑market surveillance and mandatory incident reporting. Practical enforcement hinges on forthcoming delegated acts that will define what an “appropriate level of cybersecurity” means in technical terms, creating near‑term uncertainty while driving a shift toward DevSecOps pipelines, automated monitoring, dedicated AI security teams, and a growth market for MSSPs. To comply, organizations must start with risk classification and gap analysis (map systems to Annex III, then audit controls against Articles 10–19), build interdisciplinary governance (legal, security, data science, ethics), harden supply‑chain/contracts, and embed security‑by‑design throughout development. The Act layers onto NIS2, the Cyber Resilience Act, GDPR and DORA, so firms need holistic, cross‑border compliance strategies. Expect standardized EU security baselines and a “Brussels Effect” globally, but also practical challenges: fast‑moving attack vectors, resource and expertise gaps, and vendor “compliance‑washing.” Ultimately the law reframes compliance as continuous operational practice, not a checkbox.