AI Security Series

As organisations move AI systems into production, securing them becomes a distinct discipline. AI introduces attack surfaces that traditional security controls were never designed for — prompt injection, model and data poisoning, unsafe tool use by autonomous agents, and leakage of sensitive information through model outputs. Securing an AI deployment means protecting the model, the data that trains it, and the actions it is permitted to take.

The AI Security Series addresses that challenge alongside the governance frameworks that support it. You will work through security and governance practices for AI agents, explainable AI techniques that make model behaviour auditable, and the responsible-AI principles that govern fair, transparent and accountable deployment. The courses suit security professionals extending their remit to AI systems, as well as AI practitioners who need to build and operate their systems safely.