[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"framework:eu-ai-act\u002F13":3},{"item":4,"lessons":16,"controls":34,"related":50},{"family":5,"item":6,"code":7,"title":8,"citations":9,"publisher":10,"summary_md":11,"official_text":12,"official_attribution":12,"official_url":13,"link_label":14,"note":12,"updated_at":15},"eu-ai-act","13","Article 13","Transparency and provision of information to deployers",4,"European Union","**What it asks for.** High-risk AI systems must be designed so that their operation is transparent enough for deployers to interpret the output and use it appropriately. Providers must supply clear instructions for use covering the provider's identity, the system's intended purpose, capabilities and limitations, and the information deployers need to operate it safely.\n\n**In practice.** Good instructions for use state the levels of accuracy, robustness and cybersecurity the system was tested against, known and foreseeable risks, performance for specific groups of people, input data specifications, human oversight measures, required computing resources, expected lifetime and maintenance, and how the logging mechanism works. Providers should version these documents alongside model releases and record any predetermined changes. Deployers should hold the instructions on file and be able to show they read and applied them, since Article 26 requires use in accordance with them.\n\n**Common gaps.** Instructions are often generic marketing documents without measured performance figures, omit limitations for specific populations, or are not updated when the model is retrained. Deployers frequently never receive or review them.",null,"https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1689\u002Foj","Read the AI Act on EUR-Lex","2026-10-18T15:18:43.664+00:00",{"total":9,"list":17},[18,22,26,30],{"slug":19,"title":20,"published_at":21},"ai-chatbots-targeted-by-covert-political-influence-networks","AI Chatbots Targeted by Covert Political Influence Networks","2026-10-15T20:20:35.974+00:00",{"slug":23,"title":24,"published_at":25},"ftc-probes-openai-anthropic-over-ai-agent-safety-and-consumer-risks","FTC Probes OpenAI & Anthropic Over AI Agent Safety and Consumer Risks","2026-10-01T00:20:23.357+00:00",{"slug":27,"title":28,"published_at":29},"ai-agent-actions-create-legal-liability-gaps-for-developers","AI Agent Actions Create Legal Liability Gaps for Developers","2026-09-30T12:20:57.087+00:00",{"slug":31,"title":32,"published_at":33},"ai-model-lineage-exposes-hidden-supply-chain-risks","AI Model Lineage Exposes Hidden Supply Chain Risks","2026-08-28T12:21:25.719+00:00",[35,40,45],{"slug":36,"name":37,"problem":38,"stories":39},"ai-security","AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",3,{"slug":41,"name":42,"problem":43,"stories":44},"threat-intelligence","Threat intelligence","Attack campaigns reach your sector, suppliers or software before your team hears about them.",2,{"slug":46,"name":47,"problem":48,"stories":49},"software-supply-chain","Software supply chain security","Malicious and vulnerable open-source packages are caught before they ship.",1,[51,56,61,65,70,73,77,82],{"family":52,"item":53,"code":54,"title":55,"together":9},"nist-ai-rmf","overview","AI RMF 1.0","AI Risk Management Framework (AI RMF 1.0)",{"family":57,"item":58,"code":59,"title":60,"together":39},"cis","3","Control 3","Data Protection",{"family":5,"item":62,"code":63,"title":64,"together":39},"9","Article 9","Risk management system",{"family":66,"item":67,"code":68,"title":69,"together":44},"nist-800-53","au-2","AU-2","Event Logging",{"family":71,"item":53,"code":72,"title":72,"together":44},"itil","ITIL",{"family":57,"item":74,"code":75,"title":76,"together":44},"8","Control 8","Audit Log Management",{"family":78,"item":79,"code":80,"title":81,"together":44},"gdpr","22","Article 22","Automated individual decision-making, including profiling",{"family":83,"item":84,"code":85,"title":86,"together":44},"iso","42001","ISO\u002FIEC 42001","ISO\u002FIEC 42001: Artificial intelligence management system"]