all InfoSec News
CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
June 13, 2024, 4:20 a.m. | Md Tanvirul Alam, Dipkamal Bhushl, Le Nguyen, Nidhi Rastogi
cs.CR updates on arXiv.org arxiv.org
Abstract: Cyber threat intelligence (CTI) is crucial in today's cybersecurity landscape, providing essential insights to understand and mitigate the ever-evolving cyber threats. The recent rise of Large Language Models (LLMs) have shown potential in this domain, but concerns about their reliability, accuracy, and hallucinations persist. While existing benchmarks provide general evaluations of LLMs, there are no benchmarks that address the practical and applied aspects of CTI-specific tasks. To bridge this gap, we introduce CTIBench, a benchmark …
accuracy arxiv benchmark cs.ai cs.cr cti cyber cybersecurity cybersecurity landscape cyber threat cyber threat intelligence cyber threats domain evolving cyber threats hallucinations insights intelligence landscape language language models large llms reliability threat threat intelligence threats today understand
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Head of IT Governance IT Risk IT Outsourcing
@ State Street | Munich, Germany
Information Assurance Engineer (Engineer Info Assurance 3) 19608
@ HII | Annapolis Junction, MD, Maryland, United States
VP control design and Development
@ State Street | Dublin 2, Ireland
Channel & Alliances Solution Architect
@ Trend Micro | US Off-Site
Senior DevOps Engineer (f/m/d)
@ E.ON | Essen, DE
DevOps Engineer with OpenShift & Kubernetes
@ Peraton | Arlington, VA, United States