BUYERS GUIDE: AI THREAT DETECTION AND RESPONSE

AI’s integration into cybersecurity has transformed threat detection. Initially, expert systems used rules to identify threats. The machine learning era introduced anomaly and signature-based detections, while the 2010s saw deep learning detect intricate threats through data analysis. Behavioral analytics emphasized user behavior and access patterns, with AI-driven systems improving accuracy by considering context. Modern systems integrate external threat intelligence and automate response processes. As AI progresses, its role in cybersecurity becomes increasingly vital.