Forcepoint UEBA [EOL] vs Splunk User Behavior Analytics comparison

Forcepoint User and Entity Behavior Analytics (UEBA) enables security teams to proactively monitor for high risk behavior inside the enterprise. Our security analytics platform provides unparalleled context by fusing structured and unstructured data to identify and disrupt malicious, compromised and negligent users. We uncover critical problems such as compromised accounts, corporate espionage, intellectual property theft, and fraud.

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.