AI‑driven attacks are evolving rapidly. Criminals now use generative models to craft phishing emails and adversarial inputs that bypass traditional defences. Waiting for an alert after the fact isn’t enough. In this masterclass, you’ll learn proactive security techniques to detect and stop attacks before they cause harm.

We’ll demonstrate watermarking and content provenance methods to verify the source of AI‑generated content, as well as anomaly detection models that flag unusual patterns in user behaviour and model outputs.

We’ll also explore risk scenarios such as prompt injection and data poisoning, and discuss how to integrate these detection mechanisms into existing SOC workflows.

You’ll leave with a toolkit for hardening your AI applications and a plan to update your security operations.