SBIR/STTR Research Award
Large Language Models for System Security Engineering Analysis
Award amount
$249,987Program and phase
SBIR · Phase IAward year
2025Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- BLUERISC INC
- Proposal award date
- 2025-07-30
- Contract end date
- 2026-02-04
- UEI
- LVWLKDJURJL1
- Solicitation number
- 25.4
- Topic code
- A254-006
Research abstract
The growing complexity and connectivity of DoD aviation, ground, and weapons systems has resulted in increased exposure and susceptibility to sophisticated cyber-threat vectors. The purpose of the proposed solution is to fine-tune state-of-the-art Large Language Models (LLMs) specifically to help identify vulnerabilities in weapon systems, as well as other embedded systems, and create proof-of-vulnerability exploitation inputs in a threat-intelligence informed manner.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Navigation Warfare Situational Awareness with AI/ML
- Asymmetric LLM-aided Cyber Effects
- Navigation Warfare Situational Awareness with AI/ML
- Novel Processor Architectures for Probabilistic Computing in Survivability Controllers
- Side Channels for Heterogenous ICs
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- SeekrFlow: Finely-Tuned RAG-enabled Large Language Models for System Security Engineering Analysis
- Large Language Models for System Security Engineering Analysis
- Weapon System Assurance through AI Technologies
- LLMs in System Security Analysis
Research funding history
60 SBIR/STTR records share this UEI (2003–2025). Reported award amounts total $29,565,062. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, Department of Homeland Security, National Science Foundation, Department of Energy