Prelert Behavioral Analytics for the Elastic Stack Beta
Extend the power of the Elastic Stack with Prelert’s automated behavioral analytics
Behavioral analytics for IT security and operations teams
Prelert Behavioral Analytics for the Elastic Stack analyzes log data residing in Elasticsearch, finds anomalies within the data and links them together, letting your data tell the story behind advanced cyberthreats and IT performance problems. Using automated machine learning-based analytics, 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 security and operations problems before users report them, and catch issues that directly affect business KPIs.
Faster Root Cause Discovery
Find the root cause of anomalies faster. Get the full story behind cyberthreats, IT ops issues, and business disruptions 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.
Behavioral Analytics for the Elastic Stack Beta: Let Your Data Tell the Story
Prelert helps you automate the analysis of massive Elasticsearch data sets, eliminating manual effort and human error. Running as a Kibana app, Prelert is tightly integrated into the Elastic Stack, and anomaly results are displayed in Kibana dashboards. It’s easy to download and deploy in minutes—no data import or export required.
Runs as a Kibana app
Extends Elasticsearch with Prelert’s advanced 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
Compatible with other Elastic products like Shield and Watcher