Public cloud environments make it very easy to grant extensive permissions, and very difficult to keep track of them. Cloud Workload Protection Service detects promiscuous permissions to your workloads, hardens security configurations before data exposure occurs, and detects data theft using advanced machine-learning algorithms.
Context-Aware Smart Hardening
Detects excessive permissions by analyzing the gap between granted and used permissions, and provides smart hardening recommendations to fortify security posture and reduce attack surface.
Orchestrated Attack Storylines
Correlates individual events using advanced machine-learning algorithms, and places them in contextual attack storylines to detect potential data theft attempts and block them as they evolve.
Automated Response Mechanisms
Provides built-in measures to automatically remediate suspicious behavior when it is detected, so no time is lost once a breach is detected.