Data Enrichment & Entity Extraction
Automated data enrichment & entity extraction enables new workflows and high-value alerts, helps increase situational awareness and illuminates new insights.
Automated data enrichment & entity extraction enables new workflows and high-value alerts, helps increase situational awareness and illuminates new insights.
As you aggregate your data in DigitalStakeout Scout, we automatically illuminate it with new context. You can use this extracted data to filter your mentions, create more precise alerts, and acquire new insights from visualizations.
Automated enrichment enables you to spot non-obvious attributes in raw data providing important perspective and meaning in a new context.
Every piece of content processed by Scout monitors is enriched in real-time, providing meta-data in an instant to acquire additional context for filtering, alerting and analytics.
50+ automated processes run against your data to provide you with additional context to your information.
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.
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.
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.
DigitalStakeout Scout classifies your mention data into 5 potential sentiment categories (very negative, negative, neutral, positive and very positive).
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.
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.
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.