Securing AI Systems (Part 3): Runtime Defences
Runtime defences; protecting the system in production This is Part 3 of a four-part TQS series on “Securing AI Systems.” Read: Part 1 — Model Supply Chain, Part 2 — Red-Teaming & Evaluations, Next: Part 4 — Evidence & Audit Readiness. Treat production as hostile by default Even well-trained models behave differently in the wild. Inputs are messy, context may be untrusted, and tool use can…











