Data Enrichment & Entity Extraction
Automated data enrichment & entity extraction enables new workflows and high-value alerts, helps increase situational awareness and illuminates new insights.
Cleaner Data
DigitalStakeout Scout processes automatically label and structure your data to provide additional context to a discovery.
Clearer Picture
New context enables analysts to separate noise from valuable discoveries and actionable information.
Better Alerts
Enriched and linked data enables analysts to create precision alerts and workflows that save time.
Out-of-the Box Data Entity Extraction and Field Creation
As you aggregate your data from a monitor in DigitalStakeout Scout, we automatically illuminate it with new context. You can use this extracted data to filter your results, create more precise alerts, and acquire new insights from visualizations.
Save Time and Search Faster with Enriched Data
Powered by machine learning technology, on average you’ll save hours searching your data. Enrichment enables you to spot critical information faster, triage data efficiently and filter your data in ways not possible with Boolean searches.
Automated Field Extraction & Mapping
Every data source Scout processes has a unique set of fields. DigitalStakeout normalizes each data record and maximizes extractions into common fields making filtering and triage 80% faster for analysts.
Automatic Extraction of People, Places & Things
Leveraging a frequently updated source of 500+ classes and 2,500+ properties, Scout automatically identifies over 5 million people, places and things mentioned in content.
Sentiment Analysis
DigitalStakeout Scout classifies your mention data into 5 potential sentiment categories (very negative, negative, neutral, positive and very positive).
Purpose Built Classifiers for Business Risk
Scout automatically spots and classifies relevant data into 20+ cyber security, physical security, operational security and reputation risk relevant topics. These classifiers are updated daily to according to DigitalStakeout researchers and customer feedback.
Automatic Geo-Extraction and Inferred Geo-Tagging
Geotagging and geoparsing link geographic context to data. Scout extracts location and place name from unstructured text & fields to enrich records with physical and network geographic entities.
User Defined Conditional Tagging
Scout workflow rules engine support user-defined data tagging. With access to 50+ entity fields, boolean filters and complex event queries, Scout can enrich a record exactly to a set of conditions established by an end-user.