arXiv (All)
open access
Semi-Automated Detection of Gaps in LLM Security Knowledge
Large language models (LLMs) are increasingly used for a range of software, hardware and human-centered security tasks. Consequently, LLM performance on security tasks is an active area of measurement and research, often with a focus on identifying areas in which LLM security "knowledge" may be insu
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- LLM-Based Agents for Software and Systems Security: Approaches, Applications, and Assessment#792492
- LLM-Based Agents for Software and Systems Security: Approaches, Applications, and Assessment#788492
- Evaluation of the maturity of LLMs in the cybersecurity domain#1178990
- BlueSTAR: Tiered Agentic Architecture for Autonomous Cyber Defense#999533
- CyberFactory: Scaling Cyber Security Capabilities with Instances from the Wild#820630
Record · ID 1061754
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive