Confluera combines behavioral analytics and ML powered anomaly detections to detect a broad spectrum of suspicious host and network behaviors in real time. What makes it special is the noise reduction and low false positives to intercept threats ‘that matter’ , thanks to the continuous attack graph approach.
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.
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.
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.