zero trust networking

Explains how AI boosts Zero Trust Networking with continuous, context-aware verification, micro-segmentation, and automated policy enforcement. Details anomaly detection, risk scoring, and rapid response to lateral movement. Weighs challenges - data quality, drift, bias, privacy, explainability - and outlines steps, tooling, and governance to build a scalable, resilient, and compliant ZTNA program.