ClearVector Detection Engine is a threat detection platform that correlates security activity to specific identities across cloud and development environments. The platform uses a patented graph architecture to map relationships between humans, machine accounts, and third-party vendors across infrastructure layers. The system processes events in real-time, detecting threats within 30 seconds to 2 minutes of occurrence. It traces actions through complete attack chains, connecting activity from source control systems through CI/CD pipelines to cloud resources and data access. Graph traversal completes in under 400ms across trillions of events. The platform provides identity attribution for all actions, showing the originating identity behind API calls, service role activity, Lambda executions, and data access patterns. It automatically correlates activity across AWS, GCP, GitHub, containers, and S3 buckets on a unified timeline. ClearVector includes a recommendation engine that learns normal behavior patterns for each identity in the environment. Detection profiles can be customized without writing rules or queries. The system flags when specific identities deviate from their established behavior patterns rather than relying solely on generic threat signatures. The platform handles ephemeral identities including Lambda execution roles, third-party vendor sessions, CI/CD tokens, and auto-scaling service accounts. It tracks temporary access grants and correlates activity from short-lived identities back to their originators.