Campaign-Based Fusion Engine for Intelligence Custody Tracking and Behavior Prediction

[0000] A system is disclosed for generating a common intelligence picture using a modular architecture that automates multi-source intelligence fusion, behavior prediction, and custody tracking. The system receives priority intelligence requirements, extracts tasking parameters using a language model, and generates collection strategies based on feasibility, resource availability, and historical outcomes. Incoming sensor reports are normalized, correlated, and evaluated using predictive models that incorporate pattern-of-life behavior, terrain constraints, and movement feasibility. The system supports tracking of individual and group targets, assigns behavior alignment and identity confidence scores, and triggers alerts for anomalous or evasive behavior. Custody records are continuously maintained and updated, with reacquisition workflows initiated when identity continuity degrades. Collection plans are refined in real time based on predictive scoring and tasking feedback. The system supports strategic campaign adaptation, interactive visualization, and automated report generation while maintaining access control and security classification policies across operational environments.