The focus is on applications and their behavior. For example, some edits might lead to unusual behavior. Based on these observations, I have made use of the solution.
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.
Type | Title | Date | |
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Category | User Entity Behavior Analytics (UEBA) | May 16, 2025 | Download |
Product | Reviews, tips, and advice from real users | May 16, 2025 | Download |
Comparison | Splunk User Behavior Analytics vs IBM Security QRadar | May 16, 2025 | Download |
Comparison | Splunk User Behavior Analytics vs Exabeam | May 16, 2025 | Download |
Comparison | Splunk User Behavior Analytics vs Rapid7 InsightIDR | May 16, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Darktrace | 4.1 | N/A | 94% | 80 interviewsAdd to research |
IBM Security QRadar | 4.0 | 11.7% | 91% | 208 interviewsAdd to research |
Splunk User Behavior Analytics was previously known as Caspida, Splunk UBA.
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