AI/ML Risk Prioritization and Explainability Implementation

The AI/ML Risk Prioritization and Explainability Implementation subcontract for the Defense Counterintelligence and Security Agency focuses on developing advanced correlation and prioritization logic for DCSA PSAM projects. The primary objective is to utilize AI/ML to correlate alerts across inconsistent identifiers and apply risk-based prioritization to streamline operations for prime contractors. A critical component of the project is the implementation of explainability methods, utilizing standards such as LIME or SHAP to ensure transparency in model decision-making. The final deliverables include configured AI/ML models for alert prioritization and detailed explainability reports. This opportunity falls under NAICS code 541511 and has a response deadline of September 22, 2026.