An AI-native endpoint security platform delivering real-time EDR and XDR capabilities. It autonomously detects, prevents, and responds to threats across endpoints, cloud workloads, and identities using behavioral analysis and machine learning.

SentinelOne is an AI-native cybersecurity platform that delivers endpoint detection and response, extended detection and response, and cloud workload protection through a single agent and management console. Its detection engine operates entirely on the endpoint in real time, using behavioral AI models that do not require cloud connectivity to make decisions, which means threats are detected and contained even when devices are offline. SentinelOne's Storyline technology automatically correlates every process, file, and network event on an endpoint into a causal attack graph, giving analysts an immediately interpretable view of how a threat developed rather than a raw list of events. The platform supports automated response at machine speed: isolating endpoints, rolling back malicious file system changes, killing process trees, and re-imaging devices, all without requiring analyst intervention.
Qevlar integrates with SentinelOne to retrieve endpoint alerts and behavioral telemetry during automated investigations. When SentinelOne detects malicious activity on an endpoint, Qevlar can pull the Storyline attack graph and correlate it with identity and network data to determine whether the threat is isolated to a single device or represents a broader compromise.