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 ...
A practical, principled guide to establishing AI security within your organisation. From the foundations that endure, through the governance model that works, to the roadmap that gets you there.
Start with the FoundationsThree steps to building an AI Safety and Security function: understand why you need one, define how to lead it, then follow the roadmap to build it.
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 the operating model for your AI Safety and Security function. The fundamentals haven't changed, but the stakes have never been higher.
Read MorePractical guidance across every capability your AI Safety and Security function needs: from threat intelligence to governance, architecture to operations.
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 ...
Prompt injection has rapidly become the most discussed vulnerability class in AI security, and for ...
The EU AI Act represents the most comprehensive attempt by any jurisdiction to regulate artificial ...
Defence in depth is one of the oldest principles in security: layer multiple independent controls s...
Most Security Operations Centres were designed for a world of network intrusions, malware payloads,...
Every organisation claims to take security seriously. Most of them prove it with an annual complian...