Flowmon vs Splunk User Behavior Analytics comparison

Flowmon is a professional tool for effective network troubleshooting, performance monitoring, capacity planning, encrypted traffic analysis and cloud monitoring. Instead of just the red/green infrastructure status, it helps NetOps teams to understand user experience while keeping the amount of data noise and analytical work to a minimum. Flowmon is a part of the Kemp product portfolio.

Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.