ObserveIT vs Splunk User Behavior Analytics comparison

The biggest security problem today is people. Insiders are responsible for 90% of security incidents, per the 2015 Verizon DBIR Report. Organizations need to manage security risk from vendors, privileged users and high-risk users. ObserveIT captures video playback of policy violations and comprehensive metadata related to what people are doing, with this information, you can easily search and see what happened without translating logs or investigating across multiple systems.

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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.