This guide proposes a technical framework for using Large Language Model (LLM) technology for threat intelligence retrieval, including reference architecture, workflow, and technical implementations. LLM-based threat intelligence retrieval can be used to provide real-time information retrieval for users in cybersecurity operations and to offer threat intelligence retrieval services for cybersecurity products. It includes four parts: component layer, core layer, service layer, and maintenance management. The workflow of LLM-based threat intelligence retrieval consists of four steps: retrieval input, semantic parsing, retrieval execution, and result output. Implementations are proposed based on the functionality of each layer.
- Sponsor Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2025-02-13
Working Group Details
- Society
- IEEE Computer Society
Learn More About IEEE Computer Society - Sponsor Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
LLM-TIR - Threat Intelligence Retrieval Framework Based on Large Language Model
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Richard Tong
Other Activities From This Working Group
Current projects that have been authorized by the IEEE SA Standards Board to develop a standard.
No Active Projects
Standards approved by the IEEE SA Standards Board that are within the 10-year lifecycle.
No Active Standards
These standards have been replaced with a revised version of the standard, or by a compilation of the original active standard and all its existing amendments, corrigenda, and errata.
No Superseded Standards
These standards have been removed from active status through a ballot where the standard is made inactive as a consensus decision of a balloting group.
No Inactive-Withdrawn Standards
These standards are removed from active status through an administrative process for standards that have not undergone a revision process within 10 years.
No Inactive-Reserved Standards