Artificial Intelligence and Machine Learning are rapidly becoming embedded across security operations—shaping how threats are detected, identities are assessed, and data risks are surfaced. As security platforms increasingly rely on AI‑assisted decision‑making, leadership responsibility is shifting. In this session we explore where AI and ML genuinely amplify security controls—such as accelerating incident response, analysing identity risk signals, and identifying data exposure—and where they introduce new classes of risk.