“AI – Driven Threat Detection and Response:
Building a Smarter Cyber Defence Model“
Artificial intelligence is reshaping cyber defence by helping organisations detect abnormal behaviour, prioritise alerts, automate investigations and respond at machine speed. At the same time, adversaries are using AI to accelerate reconnaissance, craft convincing social engineering, mutate malware and exploit identity, cloud and third-party weaknesses. A smarter cyber defence model therefore requires more than new tools, it needs trusted data, strong governance, human oversight, measurable outcomes and continuous adaptation.
The cyber threat landscape has moved from reactive incident handling to intelligence-led, AI-augmented defence. Industry analysis highlights a rapid rise in supply-chain compromise, exploitation of trusted identities, cloud misconfiguration, AI-enabled social engineering and attacks that move from initial access to business impact in hours or minutes. Security operations centres are increasingly adopting AI-powered detection, automated triage, behavioural analytics, XDR, UEBA, SOAR and security copilots to reduce alert fatigue and shorten response times.
• AI Dual Use: Defenders use it for anomaly detection and response, while attackers use it for phishing, malware mutation and automated attack chaining.
