A new organisational benchmark from IANS and Artico Search suggests that AI security is becoming a defined leadership responsibility at the largest companies, but governance does not yet have a consistent executive home. The firms say 65% of organisations with more than $10 billion in revenue have assigned a head of AI security role. Only 18% use a dedicated position; 47% combine the responsibility with another leadership role. Dedicated roles were reported by 9% of organisations in the $1 billion to $10 billion tier and 6% below $1 billion.

The same report finds that primary accountability for enterprise AI governance rarely sits with the CISO at the largest businesses. Seven per cent of respondents in that tier placed it there, compared with 22% under a chief AI officer. Between 14% and 19% across the three size bands said no single executive was accountable. Board oversight was also uneven: 21% of the largest companies reported a fully implemented committee dedicated to AI ethics or responsible AI. These are self-reported survey findings from two commercial organisations. They still expose a practical control question: a named security lead cannot compensate for unclear decision rights at executive and board level.


AI for Leaders: Governance, Risk & Why Strategy Must Come First
Is your organisation adopting AI without a defined strategy or governance? If so, you're not alone — and the consequences range from data breaches to reputational damage to safeguarding failures. AI is a strategic risk, not a silver bullet, and definitely not a magic data fairy. Without clear ownership, rules, and accountability, AI can proliferate across your organisation in ways that cost more — in time, money, and trust — than not using it at all. Speakers: Craig Clark, Director at Clark & Company Information Governance Services, and Stewart Tinson, Project Director, AI-360. You'll learn: Why "understand your why" must precede any AI rollout Which risks senior leaders most commonly overlook — from data leakage to safeguarding How to measure AI value through outcomes, not adoption metrics Why accountability for AI governance sits with the C-suite, not IT or compliance Key topics: AI strategy • Risk appetite • Data protection • Bias & fairness • Safeguarding • AI literacy • Governance models • Return on investment • Executive accountability • AI use case tiering For CISOs, CIOs, and senior leaders who need to govern AI responsibly — before it governs them.
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