Splunk User Behavior Analytics vs Varonis Datalert comparison

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.

Varonis Datalert prevents data breaches and alert on suspicious activity, stop ransomware, and defend your data from insider threats. It monitors enterprise assets for suspicious activity and unusual behavior, detecting critical events and compromised assets on your core infrastructure: Windows, UNIX/Linux, NAS, Active Directory, SharePoint, Exchange, and Office 365. It detects insider threats and cyber threats by analyzing data, account activity, and user behavior and automate responses to suspicious activity and alert on unusual behavior - using deep analysis of metadata, machine learning, and advanced User Behavior Analytics (UBA).