Why Security Fundamentals Still Matter for AI
Every few years, a technology arrives that tempts the security community to throw out the playbook and start from scratch. Cloud computing did it. Mobile did it. Now artificial intelligence is doing ...
Securing AI with principled expertise
Security fundamentals endure. The challenge is applying them to the most consequential technology of our time, making AI secure, safe, open, and democratic.
Explore the FoundationsFoundations
Three pillars that guide a principled approach to AI security, grounded in experience and driven by purpose.
The Bletchley Park Model
In 1939, a diverse team of mathematicians, linguists, chess champions and crossword enthusiasts gathered at Bletchley Park to tackle an unprecedented challenge. They succeeded not through hierarchy or rigid doctrine, but through mission-driven collaboration, intellectual humility, and relentless ambition in service of humanity.
We propose this as a model for AI security today. The fundamentals haven't changed, but the stakes have never been higher.
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Perspectives on AI security, from threat landscape analysis to governance frameworks and practical defence strategies.
Prompt Injection: What Security Teams Need to Know
Prompt injection has rapidly become the most discussed vulnerability class in AI security, and for ...
Navigating the EU AI Act for Security Leaders
The EU AI Act represents the most comprehensive attempt by any jurisdiction to regulate artificial ...
Defence in Depth for Machine Learning Pipelines
Defence in depth is one of the oldest principles in security: layer multiple independent controls s...
Extending Your SOC for AI Threats
Most Security Operations Centres were designed for a world of network intrusions, malware payloads,...
Building Security Culture in AI Teams
Every organisation claims to take security seriously. Most of them prove it with an annual complian...