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.

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

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

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

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