Use Cases 3

Confluera combines behavioral and ML-powered anomaly analysis to detect a broad spectrum of suspicious workload behaviors in real-time. Confluera’s Continuous Attack Graph technology continuously connects the dots to surface ‘real’ threats moving through workloads, thereby eliminating the noise of isolated signals.
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Built from the ground up to protect server workloads and their unique attack surface with comprehensive coverage across all MITRE ATT&CK tactics, including reconnaissance,discovery, and east-west traffic. Confluera continuously gathers OS, network, and application events and applies a combination of behavioral detections and ML-powered anomaly detections to provide superior protection with low-performance overheads.

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Stop triaging alerts one by one. Confluera leverages Continuous Attack Graph to stitch individual detections into real-time threat storyboards that allow you to analyze the situation with full infrastructure-wide context. You'll see the entire history of activity before and after any detection, across any number of workloads, and any amount of time.

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Confluera uses a fundamentally new approach to threat monitoring-drastically reducing the need to chase individual detections or alerts. Through a refined set of risk-prioritized storyboards curated at run-time, SecOps teams can immediately conclude whether detections are benign or whether they are part of a larger attack narrative brewing underneath.