How does Zero Trust address the risks of AI-powered cyberattacks?

Zero Trust helps protect against AI-powered cyberattacks by incorporating behavioral analytics and dynamic policies to continuously verify and secure access to resources. By adopting a Zero Trust model, organizations validate each user and device trying to access network resources, regardless of their location. Behavioral analytics are used to monitor user behavior and detect anomalous activities that may indicate a cyber threat. Dynamic policies are then applied in real-time to control access based on the current context and risk level. This approach minimizes the potential damage caused by AI-powered cyberattacks as it reduces the attack surface and limits lateral movement within the network.