Find out in this report how the two Intrusion Detection and Prevention Software (IDPS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
Zscaler Cloud IPS enables you to have all threat and alert data in one place. Full user, file and app context is available. Streaming to a SIEM allows further integration into the SOC ecosystem.
The Zscaler Threat Library allows administrators and SOC personnel to drill down on IPS alerts to perform in-depth analysis of threat data within their installation. Search by vulnerability, category or keyword
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