DHS CBP - AI Governance - MRAS

The Department of Homeland Security (DHS), through the General Services Administration (GSA), is conducting market research to explore solutions for enhancing its Artificial Intelligence (AI) governance capabilities. This initiative is spearheaded by U.S. Customs and Border Protection (CBP), which plays a crucial role in securing national borders while facilitating lawful trade and travel. The overarching goal of this contract is to implement a robust, enterprise-grade AI Governance software platform that can manage the entire lifecycle of AI and Machine Learning (ML) models used by CBP, ensuring their deployment aligns with federal mandates, DHS policies, and ethical standards.

The scope of work involves acquiring, implementing, and integrating an AI Governance software platform that will serve as the centralized oversight mechanism for all AI/ML models deployed within CBP. This platform must provide comprehensive capabilities including automated inventory management of AI assets, bias detection and mitigation in high-stakes decision-making processes, explainability for audit purposes, real-time drift detection with alerting mechanisms, security compliance with FedRAMP standards, and integration with existing federal Identity Management systems. Additionally, it should support scalability across a geographically distributed agency like CBP while maintaining data integrity through robust encryption and auditing capabilities.

Key technical functionalities required from the solution include MLOps integration with existing pipelines and CI/CD tools used within federal environments; automated discovery and cataloging of AI/ML models across distributed enterprise environments; methodologies for providing human-readable explanations for AI-driven outputs; monitoring for data drift in real-time; ensuring audit log integrity; and supporting role-based access control alongside multi-factor authentication. Furthermore, the solution must offer flexible licensing options tailored to large federal enterprises to optimize cost-effectiveness while ensuring scalability and long-term value.

By adopting this centralized governance framework, CBP aims to mitigate operational risks associated with rapid technological adoption while maintaining public trust in its use of advanced technology for border security operations. The successful implementation of this platform will ensure that all AI-driven decisions are transparent, ethical, compliant with evolving federal standards and ultimately support the agency's mission-critical objectives related to national security and trade facilitation.