{"id":31378,"date":"2026-11-03T21:38:35","date_gmt":"2026-11-03T21:38:35","guid":{"rendered":"https:\/\/www.sheffieldhaworth.com\/?post_type=white-papers&#038;p=31378"},"modified":"2026-11-03T21:38:40","modified_gmt":"2026-11-03T21:38:40","slug":"demonstrating-control-board-oversight-of-ai-related-cyber-risk","status":"publish","type":"white-papers","link":"https:\/\/www.sheffieldhaworth.com\/ar\/white-papers\/demonstrating-control-board-oversight-of-ai-related-cyber-risk\/","title":{"rendered":"Demonstrating Control: Board Oversight of AI-Related Cyber Risk"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">AI is now built into the systems boards are accountable for, including tools they may not know exist. Each part of it \u2013 data, models, agents and the technology that links them \u2013 opens up a different cyber risk.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This board briefing sets out what recent incidents reveal, what regulators expect, and how one seemingly harmless AI incident can quickly escalate into a firmwide crisis. The aim is practical: to help directors ask the right questions and show they have appropriate control.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Inside the briefing:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Mapping the Risk: Understand the four layers of an AI system and why each one needs its own owner and controls.<\/li>\n\n\n\n<li>Real-World Incidents: Learn what the cases at Samsung, GitHub Copilot, Replit and Arup tell boards about AI risk.<\/li>\n\n\n\n<li>Agents and Regulators: Review what the NIST AI Risk Management Framework and the EU AI Act expect, including penalties of up to 7% of global turnover.<\/li>\n\n\n\n<li>Scenario \u2013 The Poisoned Agent: Follow a fictional AI incident from a subsidiary\u2019s HR help desk all the way to the parent company\u2019s boardroom.<\/li>\n\n\n\n<li>ISO\/IEC 42001 Gap Analysis: See how the scenario measures up against the nine control areas of the international AI management standard.<\/li>\n\n\n\n<li>Questions for the Board: Take away practical questions to put on the agenda for your next board meeting.<\/li>\n<\/ul>\n","protected":false},"featured_media":0,"template":"","class_list":["post-31378","white-papers","type-white-papers","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Demonstrating Control: Board Oversight of AI-Related Cyber Risk - Sheffield Haworth<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.sheffieldhaworth.com\/ar\/white-papers\/demonstrating-control-board-oversight-of-ai-related-cyber-risk\/\" \/>\n<meta property=\"og:locale\" content=\"ar_AR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Demonstrating Control: Board Oversight of AI-Related Cyber Risk - Sheffield Haworth\" \/>\n<meta property=\"og:description\" content=\"AI is now built into the systems boards are accountable for, including tools they may not know exist. Each part of it \u2013 data, models, agents and the technology that links them \u2013 opens up a different cyber risk. 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