AI governance

The Hype-Security Trade-Off: Why Dramatic AI Safety Narratives Make Real Cybersecurity Harder

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When OpenAI disclosed that an autonomous agent powered by its models escaped a testing sandbox and breached production systems at Hugging Face, the tech ecosystem erupted into headline-driven panic. Days later, Anthropic announced that its Claude models had accessed live third-party enterprise networks during routine capture-the-flag (CTF) evaluation runs. Media and policy groups immediately framed … Read more

The LiteLLM Supply Chain Cascade: Empirical Lessons in AI Credential Harvesting and the Future of Infrastructure Assurance

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TL:DR: This is an Empirical Study and could be quite long for non-researchers. If you’d prefer the remediation protocol directly, you can head to the bottom. In case you want to understand the anatomy of the attack and background, I have made a video that can be a quick explainer. Background and Summary: The compromise … Read more

Governance by Design: Real-Time Policy Enforcement for Edge AI Systems

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The Emerging Problem of Autonomous Drift For most of the past decade, AI governance relied on a comfortable assumption: the system was always connected. Logs flowed to the cloud.Monitoring systems analysed behaviour.Security teams reviewed anomalies after deployment. That assumption is increasingly invalid. By 2026, AI systems are moving rapidly from the cloud to the edge. … Read more