Find out what your peers are saying about IBM, Exabeam, Rapid7 and others in User Entity Behavior Analytics (UEBA).
Every organization is adopting the cloud, but there are some companies that are reaping a larger number of benefits from cloud transformation than others. Making an effort to adopt the cloud is simply not enough to realize the benefits. The organization that prepares for efficiently managing risk will be able to capture a larger percentage of the benefits than one that has not. This is because cloud applications can be adopted overnight, without IT’s knowledge and at a pace that exceeds the ability of the SecOps teams to address security concerns. As such, the security team is chasing down applications that are already in production.
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.
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