How to design cloud environments for AI-powered threat analysis

Cloud environments are inundated with security signals, necessitating precise determination of their legitimacy and posing a challenge to threat analysis. AI can enhance this process by identifying patterns and risks through User and Entity Behavior Analytics (UEBA), which relies on historical behavioral patterns of cloud identities. However, AI's effectiveness depends on consistent telemetry data and well-defined security controls, as it can falter with incomplete data or unfamiliar behaviors. To optimize AI's threat analysis, cloud environments must provide clear guidelines and context through logs and metadata tags, enabling AI to accurately trace and correlate activities. This structured approach ensures AI can distinguish between normal and anomalous behavior, focusing investigations on significant security risks.