The new AI risk problem no one leader fully owns (www.techradar.com)

As artificial intelligence (AI) rapidly integrates into various enterprise operations, organizations face a growing challenge: fragmented accountability for AI-related risks. Traditional governance models, which relied on centralized oversight, struggle to adapt to the decentralized nature of AI, where decisions are distributed across multiple functions and processes. This fragmentation has led to a new category of enterprise risk, highlighting that many organizations lack a clear view of how AI-driven decisions impact legal, privacy, and operational functions simultaneously. The shift in focus toward AI risk management signifies that cybersecurity teams, particularly Chief Information Security Officers (CISOs), are now seen as crucial authorities on trust and assurance across the enterprise. As AI systems generate interdependencies between data sources, cloud infrastructures, and operational processes, organizations must enhance their operational resilience and visibility to trace AI outputs effectively. By addressing key questions related to AI-driven systems and potential vulnerabilities, enterprises can improve their governance frameworks and better prepare for disruptions, ultimately being assessed on their ability to demonstrate accountability and operational resilience in real-time.