AI-Assisted RMF Pre-Adjudication for Research, Development, and Rapid Prototyping Environments
AI Overview
DLA seeks an AI-assisted tool to pre-review cybersecurity documentation artifacts and identify gaps or weaknesses before formal assessment. The solution should analyze control statements and architecture documents to provide confidence-scored feedback, helping R&D teams improve RMF package quality and reduce rejection rates.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
DLA seeks SBIR project opportunities for an AI-assisted pre-adjudication tool that analyzes draft RMF artifacts to assess their readiness for formal cybersecurity review. Proposed solutions should operate on submitted artifacts (e.g., control implementation statements, system architecture documents) as primary inputs rather than relying on conversational user interfaces.
The proposed capability should be able to:
Identify missing, inconsistent, or weak control implementation statements. Distin...
Change History
AI-Assisted RMF Pre-Adjudication for Research, Development, and Rapid Prototyping Environments
Status changed from Pre-Release to Open
AI-Assisted RMF Pre-Adjudication for Research, Development, and Rapid Prototyping Environments
New opportunity: AI-Assisted RMF Pre-Adjudication for Research, Development, and Rapid Prototyping Environments
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