Buyers Guide for 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.