Exabeam Fusion SIEM vs Splunk User Behavior Analytics comparison

Exabeam Fusion SIEM is a cloud-delivered solution that that enables you to:

-Leverage turnkey threat detection, investigation, and response
-Collect, search and enhance data from anywhere
-Detect threats missed by other tools, using market-leading behavior analytics
-Achieve successful SecOps outcomes with prescriptive, threat-centric use case packages
-Enhance productivity and reduce response times with automation
-Meet regulatory compliance and audit requirements with ease

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.