March 5, 2024, 3:11 p.m. | Jiandong Jin, Bowen Tang, Mingxuan Ma, Xiao Liu, Yunfei Wang, Qingnan Lai, Jia Yang, Changling Zhou

cs.CR updates on arXiv.org arxiv.org

arXiv:2403.00878v1 Announce Type: new
Abstract: We introduces Crimson, a system that enhances the strategic reasoning capabilities of Large Language Models (LLMs) within the realm of cybersecurity. By correlating CVEs with MITRE ATT&CK techniques, Crimson advances threat anticipation and strategic defense efforts. Our approach includes defining and evaluating cybersecurity strategic tasks, alongside implementing a comprehensive human-in-the-loop data-synthetic workflow to develop the CVE-to-ATT&CK Mapping (CVEM) dataset. We further enhance LLMs' reasoning abilities through a novel Retrieval-Aware Training (RAT) process and its refined …

amp arxiv att capabilities cs.ai cs.cr cves cybersecurity defense language language models large llms mitre mitre att&amp realm reasoning strategic system techniques threat

SOC 2 Manager, Audit and Certification

@ Deloitte | US and CA Multiple Locations

Cybersecurity Engineer

@ Booz Allen Hamilton | USA, VA, Arlington (1550 Crystal Dr Suite 300) non-client

Invoice Compliance Reviewer

@ AC Disaster Consulting | Fort Myers, Florida, United States - Remote

Technical Program Manager II - Compliance

@ Microsoft | Redmond, Washington, United States

Head of U.S. Threat Intelligence / Senior Manager for Threat Intelligence

@ Moonshot | Washington, District of Columbia, United States

Customer Engineer, Security, Public Sector

@ Google | Virginia, USA; Illinois, USA