Start Left® SPACE Behavioral Analytics Engine

The SPACE Behavioral Analytics Engine is a patented security monitoring component of the Start Left® Security platform. It centralizes, analyzes, and correlates security data from CI/CD pipelines and cloud environments to detect risks and threats without requiring manual investigation. The engine uses real-time machine learning (ML) to monitor human activities and behaviors, identifying toxic combinations, risk scenarios, risk combinations, and threat predictions. It correlates real-time and historical data to surface contextual signals, and reduces alert fatigue by filtering out false positives and prioritizing high-impact findings. Key analytical capabilities include: - Toxic Combination Detection: Identifies converging risk factors across cloud products (e.g., public accessibility + sensitive data + high vulnerability count). - High-Impact Opportunity Prioritization: Ranks CVEs not just by severity score but by portfolio-wide impact (e.g., a CVSS 7 affecting 100 products ranked higher than a CVSS 10 affecting 1). - Risk Scenario Detection: Automatically detects accidental exposure of critical information, inadequate access controls, and public code repository exposure. - Risk Combination Tracking: Correlates multiple risk events over time to identify compound threats (e.g., supply chain compromise patterns). - Threat Predictions: Uses full lifecycle monitoring to identify high-risk assets likely to be compromised. - Most Improved Product/Team Tracking: Monitors team-level risk management performance over time. The platform uses a no-code API for integration, includes a pre-built detection library ("Cognition" database), and supports collaboration across security, development, operations, and GRC teams. It holds US Patents 11,080,162 and 11,288,167.