Prelert Anomaly Detective App for Splunk

Prelert's® Anomaly Detective® App uses advanced predictive analytics to extend Splunk® Enterprise and Splunk® Cloud, to enable highly accurate real-time alerts without the need to set thresholds. Supports Hunk® and Splunk® Enterprise Security.

Unsupervised machine learning (self-learning) techniques analyze the fields, rates and values of your data and develop a model of the normal behaviors of your environment. These models are then leveraged to identify anomalous behaviors. When an issue develops, the Anomaly Detective highlights the data directly related to that issue.

Common Use-Cases:

* IT Ops / APM
+ Alerting on KPIs with machine-learned thresholds
+ Detecting spikes in error counts by type that are unusual
* Security
+ Insider Threat, User Behavior
+ C2 / DGA / Data leakage detection

Current version: v4.1.4 - see: Full on-line documentation

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