DATA ENGINEERING

We turn data into actionable intelligence to support decision making or autonomous responses.

Over the years, RedSec1 has led the way in building hyper-scale repositories to satisfy end goals such as real-time analytics, event detection, correlation, alerting, and tipping and cueing.

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Geospatial Cross Domain Threat Awareness

  • Aggregate and analyze multi-source and geospatial data for monitoring geo-fences

  • Provide risk and threat assessment on targets of interest

  • Automation of cross-domain sharing based on data source and delivery context

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Waste, Fraud, and Abuse Detection

  • Provide risk management by monitoring transactions for policy compliance, misuse, and potential fraud

  • Establish workflow to provide real-time oversight of anomalous and questionable transactions or non-conformant behavior

  • Categorization of repetitive perpetrator behavior and methods

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Open Source Analysis

  • Pluggable architecture for all source analysis such as social networks, RSS, CMS, databases, and blogs

  • Self-service analytics and watchlists for real-time correlation and notification

  • Transformation of static search into automated event sensors

  • Application of Machine Learning to identify patterns and shapes of interest

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Multi-Source Event Analytics

  • Correlation of real-time events provided by data streams such as case reports, GEOINT, SIGINT, and other source domains

  • System and personnel alerts with contextual aggregation for immediate response categorization or autonomous resolution

  • Watch lists for domain-specific (region, geo-area, group) event processing