Mentioned in 2 AI use cases across 2 industries
This is a research survey that acts like a “buyers guide plus textbook” for using AI to catch hackers. It reviews how different machine‑learning and deep‑learning techniques can watch network and system traffic, learn what normal looks like, and automatically flag or block suspicious behavior in real time.
This is about using smart software that learns from patterns in network traffic and user behavior to spot hackers and suspicious activity much faster than human teams or rule-based tools can, and then automatically block or contain threats before they spread.