AI-driven cyber defence is the use of artificial intelligence to help security teams detect, prioritise, and respond to threats. It often analyses logs, endpoint activity, network traffic, and threat intelligence to spot unusual behaviour, rank alerts by risk, or recommend containment actions. This matters because modern environments generate more events than human analysts can review quickly, and speed is critical when a threat is active.
In practice, AI helps defenders reduce alert fatigue and shorten detection-to-response time, but it is not a replacement for security judgment. The output must be accurate, explainable enough to trust, and connected to clear workflows and approvals. Attackers can also use AI to scale phishing, automate reconnaissance, or adapt malware faster, which makes defensive automation even more important. Effective AI-driven cyber defence works best when people, processes, and data are aligned so machine output can become timely action.