COHORT automates mitigation generation for network attacks via collaborative LLMs on emulated topologies with offensive replay evaluation, reporting 46.7% success rate that is 4.4 times higher than a single-agent baseline.
Sok: The mitre att&ck framework in research and practice
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Agentic biological AI systems like Biomni and K-Dense assist with dual-use tasks blocked by safeguards and gain performance uplift on WMDP proxies; BioVeil MATRIX is introduced as a 10-category taxonomy with 22 techniques to categorize and red-team AI-enabled biosecurity risks.
NetSecBed delivers a declarative, container-native framework that automates generation of reproducible network traffic evidence including attacks and benign flows for cybersecurity research.
Systematic review of 80 papers shows TTP extraction shifting to transformer and LLM methods but limited by narrow datasets, single-label focus, and low reproducibility.
citing papers explorer
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COHORT: Collaborative Orchestration for Hardening via Offensive Replay on Emulated Topologies
COHORT automates mitigation generation for network attacks via collaborative LLMs on emulated topologies with offensive replay evaluation, reporting 46.7% success rate that is 4.4 times higher than a single-agent baseline.
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BioVeil MATRIX: Uncovering and categorizing vulnerabilities of agentic biological AI scientists
Agentic biological AI systems like Biomni and K-Dense assist with dual-use tasks blocked by safeguards and gain performance uplift on WMDP proxies; BioVeil MATRIX is introduced as a 10-category taxonomy with 22 techniques to categorize and red-team AI-enabled biosecurity risks.
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NetSecBed: A Container-Native Testbed for Reproducible Cybersecurity Experimentation
NetSecBed delivers a declarative, container-native framework that automates generation of reproducible network traffic evidence including attacks and benign flows for cybersecurity research.
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What Are Adversaries Doing? Automating Tactics, Techniques, and Procedures Extraction: A Systematic Review
Systematic review of 80 papers shows TTP extraction shifting to transformer and LLM methods but limited by narrow datasets, single-label focus, and low reproducibility.