AI. Cybersecurity. Privacy. The human side.
What AI means for security, privacy and trust, and what to do about it.
Independent analysis of AI, cybersecurity and privacy, from a background in enterprise cybersecurity, privacy and AI governance in complex, regulated environments. Each piece explains what a development means, why it matters, and how organizations should respond.
What this site covers
- 1
Securing AI and agents
How to protect models, data pipelines and autonomous agents before they act on your behalf.
- 2
Trust in a synthetic world
Deepfakes, cloned voices and AI-enabled fraud, and how proof of identity has to change.
- 3
AI governance in practice
Turning regulation and policy into controls an organization can actually run.
- 4
Privacy and Data
Whose data trains the models, what consent means, and how privacy and security should line up.
- 5
Fair, human-centred AI
Bias, trust and the people affected by automated decisions, treated as risk to manage.
- 6
Security leadership in the AI era
What changes for security and privacy teams, and how leaders should respond.
Latest writing
Featured essay. Securing AI and agents
Digital Agents: Revolutionizing the AI Landscape and Challenging Cybersecurity
Digital agents promise efficiency, and they also create new ways in for attackers. This essay looks at what that means for organizations and how to secure agents before relying on them.
Read the essay
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