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AI Governance

Governance, ethics, and oversight of AI development and deployment.

Edition #102

AI Expands the Boundary. Governance Must Keep Control.

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  • Cybersecurity Dive

    Shadow AI, Leadership Resistance Make AI Governance Tough for Worried CISOs

    The article reports that fewer than half of CISOs believe their leadership views AI security as a business enabler, while unauthorised shadow-AI use continues to weaken governance. It highlights the leadership and cultural challenges that can undermine AI-security programmes even when technical controls are available.

  • CPO Magazine

    Shadow AI: How to Fix Today's Leading Data Governance Problem

    The article explains how employee-led adoption of AI tools is transforming workplace processes and why attempting to block every unauthorised use is unrealistic. It recommends visibility, ownership, and accountability frameworks that support secure innovation instead of blanket restrictions.

Edition #101

AI Accelerates Risk. Resilience Must Operate Continuously.

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  • InformationWeek

    OpenAI's Hacking Incident Puts Enterprise AI Boundaries to the Test

    This article argues that AI governance policies alone are not sufficient to protect enterprise environments. Organisations also need effective containment, access restrictions, and behavioural controls around AI systems.

Edition #95

AI Expands the Attack Surface. Trust Must Evolve.

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  • CPO Magazine

    Inside Source Claims Anthropic Has Sent Mythos AI Engineers to NSA for Cyber Operations Training

    The article reports claims that Anthropic engineers received cyber-operations training from the NSA. It examines whether the reported collaboration conflicts with Anthropic’s previously stated restrictions concerning autonomous weapons and domestic surveillance.

Edition #93

Attack Paths Multiply. Ownership Must Be Clear.

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  • CPO Magazine

    AI Risk Has an Ownership Problem, and Boards Are About to Discover It

    AI adoption is advancing faster than many corporate-governance structures can accommodate. The article argues that organisations must clearly assign responsibility for AI risks, oversight, and decision-making before boards demand accountability.