SBIR / STTR #12764

USAF Solicits AI-Driven Cybersecurity Platform for Post-Quantum Cryptography Transition

The Air Force District of Washington (AFDW) and the 844th Communications Group (CG) at Joint Base Andrews are seeking proposals for an advanced cybersecurity solution: - Government Buyer: - Air Force District of Washington (AFDW), 844th Communications Group (CG), United States Air Force (USAF) - Project Scope: - Development of an AI-driven cybersecurity platform to transition cryptographic assets to post-quantum cryptography (PQC) standards - Platform must integrate advanced machine learning for automated threat detection, risk scoring, and compliance monitoring - Solution should ensure seamless PQC integration with minimal disruption to legacy systems - Technical Requirements: - Begin at Technology Readiness Level (TRL) 3 and achieve TRL 6 by project completion - Deliverables include a prototype and a fully functional platform validated in operational Air Force environments - Comprehensive cryptographic asset inventory and mapping of cryptographic foundations required - Establishment of AI/ML success metrics and extensive testing/validation of PQC algorithms - Platform must maintain compliance with PQC standards and support legacy system integration - OEMs and Vendors: - No specific OEMs or vendors are named in the solicitation - Notable Requirements: - Emphasis on AI/ML integration, PQC compliance, and minimal operational disruption - Focus on inventory, mapping, and validation of cryptographic assets and algorithms

Description

The Air Force District of Washington (AFDW) and the 844th Communications Group at Joint Base Andrews are seeking to develop an AI-driven cybersecurity platform to transition existing cryptographic assets to post-quantum cryptographic (PQC) standards. The project aims to enhance threat detection, cryptographic resilience, and mission assurance against quantum computing threats. It will start at Technology Readiness Level 3 and target TRL 6 by the end of Phase II, delivering a prototype and then a fully functional platform for operational Air Force environments. The solution will integrate advanced machine learning for automated threat detection, risk scoring, and compliance monitoring while ensuring minimal disruption to legacy systems.

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