AI Governance: A Critical Imperative for Today's Boards
AI governance has moved from a peripheral concern to a strategic imperative. What boards must do to capture the value and manage the risk.
Perspectives on AI, governance, cybersecurity and digitalisation for boards and executive teams.
AI governance has moved from a peripheral concern to a strategic imperative. What boards must do to capture the value and manage the risk.
AI lifts efficiency but carries risks: skill loss, vendor lock-in, and shrinking junior programmes. What boards need to check now.
File uploads and shadow AI expose companies to a growing, often invisible risk of data leaks. What governance needs to deliver now.
MIT research finds 95% of enterprise AI pilots deliver no measurable return. What boards and executive teams should learn from the GenAI Divide.
A global red-teaming competition shows AI agents remain highly vulnerable to attack, with implications reaching all the way to board level.
New research shows AI-generated code often contains security gaps and quality flaws, and sets out what executive teams must verify before production use.
AI agents boost efficiency and open new entry points at the same time: data leaks, shadow IT, social engineering. Governance decides the outcome.
A US study shows biased AI models can measurably shift political opinions and budget decisions, even against a person's own convictions.
Family offices are moving from paper-based processes to AI-driven operations. Governance decides whether the shift succeeds.
IBM's 2025 report: global breach costs fall 9% to USD 4.44m while US costs hit a record USD 10.22m, driven by AI and shadow AI.