Extend the power of Splunk with Prelert’s behavioral analytics platform
Behavioral analytics for IT security and operations teams
Prelert’s behavioral analytics platform extends Splunk’s standard searches by analyzing your search results, finding anomalies in the data and linking them together, letting your data tell the story behind advanced cyber threats and IT performance problems. Using machine learning anomaly detection, Prelert enables:
Early Detection of Incidents
Detect advanced threat activity such as data exfiltration and command and control communication in near real-time. Identify IT operations problems before users report them.
Faster Root Cause Discovery
Find the root cause of anomalies faster. Get the full story behind cyberthreats and IT ops issues with algorithms that learn minute-to-minute what is normal for your environment. Involve fewer people in triage and get answers fast.
Reduced False Positives
Because Prelert’s analytics run on log data from a broad set of sources, they are able to consider more context than monitoring tools that rely on a single source. This additional context helps to significantly reduce false positives.
Anomaly Detective for Splunk App (End of Life): Let Your Data Tell the Story
Prelert helps you automate the analysis of massive Splunk data sets, eliminating manual effort and human error. Downloaded as a native Splunk app, Prelert operates within distributed environments, leveraging summary statistics for massive scalability. We analyze your data as it is aggregated into Splunk, turning your existing dashboards into accurate, near real-time alerts and insights in under a minute.
Installs as a native Splunk app
Extends Splunk search with Prelert’s behavioral analytics
Identifies anomalous behavior patterns in near real-time
Minimizes requirements for domain expertise
Offers advanced insights to help solve the most complex issues