Automated Data Enrichment

Automated data enrichment enables untapped workflows and high-value alerts, and increase situational awareness and illuminate new insights.

Out-of-the Box Data Entity Extraction and Field Creation

With thousands to millions of pieces of content being generated that are attributable to your organization, it takes precision technology to illuminate context surrounding your data. DigitalStakeout Scout enrichment and automatic entity extraction provides the necessary context to easily focus on relevant items. Data that once lacked credibility or did not have enough information to be used in analytics or a workflow now can become a valuable asset.

New Context

Automated enrichment enables analysts to spot non-obvious attributes in raw data providing important perspective and meaning in a new context.

Real-time Enrichment

Every piece of content processed by Scout monitors is enriched in real-time, providing meta-data in an instant to acquire additional context, filtering alerting and analytic options.

New Insights

Enrichments are stored as fields and they provide new insights. 50+ automated enrichment processes enable entity based search and analytics in your data.

DigitalStakeout Scout Data Enrichment

Powered by machine learning technology, on average analysts save 80% of their time with the benefit of DigitalStakeout Scout‘s automated enrichment. A full stack of enrichment capabilities solve questions in real-time so you can detect critical information faster, triage data efficiently and mitigate take action on your information faster.

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 corpus of 500+ classes and 2,500+ properties, Scout automatically identifies over 5 million people, places and things mentioned in content.

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.

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