Five-minute executive summaries for leadership teams
Board-ready intelligence for directors, CEOs, and executive committees. Designed to be read in five minutes and acted on in the next meeting.
A Promise That AI Is Under Human Control Is Not Enough-Can Your Organization Actually Stop It?
Human control is becoming a central promise in AI governance. For organizations deploying AI agents, the practical question is whether controllability has been designed, assigned, exercised and evidenced.
AI May Not Create a New Vulnerability-But It Can Exploit an Old One at Machine Speed
AI can alter the economics and operating tempo of an attack even when the underlying weakness is familiar. Risk assessments calibrated to human operating speed may understate exposure when AI can accelerate repeated technical actions.
When AI Goes Wrong: What Leaders Can Learn From 8 Real-World AI Incidents
Artificial intelligence failures are rarely only technology problems. They can quickly become legal, operational, regulatory and reputational problems. This briefing summarizes eight documented incidents and the common governance questions they raise for leadership.
Five Questions Every Board Should Ask About AI
Artificial intelligence is increasingly influencing customer experiences, business operations, financial decisions, and strategic planning. Boards do not need to become AI experts. They do need confidence that AI is being governed responsibly. These five questions provide a practical framework for board oversight.
ISO/IEC 42001 is the first international management-system standard for artificial intelligence. It defines requirements for establishing, implementing, maintaining, and continually improving an AI management system (AIMS), with certifiable controls across governance, risk, lifecycle, and operations.
The NIST AI Risk Management Framework is a voluntary, widely adopted framework for managing risks across the AI lifecycle. It is organized around four functions — Govern, Map, Measure, Manage — and is paired with the Generative AI Profile for foundation-model risks.
SOC 2 is an attestation standard governed by the AICPA covering controls relevant to security, availability, processing integrity, confidentiality, and privacy. SOC 2 reports are issued by independent auditors and are a baseline expectation for B2B SaaS and AI vendors.