Latest · Threat primer
Security in AI: An Introduction
How to secure AI Systems. The opening primer in our series. An introduction to how AI models are compromised, a map of the attack surface, and what you can do about it.
Resources · Blog
Notes from the field.
Attack walkthroughs, research deep-dives, and lessons from securing AI in production.
Threat primers
3 posts
- May 222026MisalignmentWhat happens when an AI gets very good at the wrong thing. A primer on misalignment, reward hacking, and interpretability.
- May 212026Prompt InjectionHow malicious text hijacks AI behavior. A primer on direct and indirect prompt injection, and mitigations.
- May 202026Data PoisoningThe model learns from what it's fed. Poison the data, poison the model. A primer on data poisoning and mitigations.
Guides
2 posts
- May 192026AI Threat Detection - Runtime Defense for Enterprise AIAI threat detection is the continuous identification of malicious behaviour targeting AI systems. Learn what it covers and how to deploy it in regulated environments.
- May 172026How to Secure LLMs - a 6-step practical guideA practical six-step blueprint for teams shipping large language models into regulated environments. No theory, no checklists for their own sake.