Product Profile
From raw cyber events to actionable insight
DataExplorer™ is a visualization tool for cyber-event data parsing, feature selection, sanitization and normalization, clustering, machine-learning model training, and results visualization. It uses hierarchical, interactive views to explore compute networks or events at different granularities, with domain-expert-driven feature engineering, ML-based metric engineering, and hierarchical clustering algorithms.
The result is an end-to-end workflow that takes analysts from raw cyber-event data through model training and into interactive visual exploration.
Key capabilities
Data parsing & sanitization
Parses cyber-event data and applies sanitization and normalization to prepare it for analysis.
Feature & metric engineering
Combines domain-expert-driven feature engineering with ML-based metric engineering.
Hierarchical clustering
Hierarchical clustering algorithms group events and networks at different granularities.
Interactive visualization
Hierarchical, interactive views explore compute networks or events at multiple levels of detail.
Explore networks and events at any granularity
DataExplorer™ pairs hierarchical clustering with interactive views so analysts can drill from broad network behavior down to individual cyber events, supported by feature selection, metric engineering, and machine-learning model training throughout.
Download the DataExplorer™ one-page overview, or view it in your browser.
Turn cyber-event data into insight
Talk to our team about deploying DataExplorer™ for analytics and visualization in your environment.
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