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.
Confluera distills rich event telemetry into actionable insights and security KPIs that span a wide range of use cases, including runtime executables, file activities, user behavior, lateral movements, privileged activity, north-south network activity and manipulation of mission-critical assets.
Confluera’s workload-centric UEBA feature baselines user and application activity. It automatically identifies patterns that can expose a compromised account or an exploited application.
Confluera automatically profiles each workload based on observed activity patterns and detects deviations from normal baselines.