tmylla/Awesome-LLM4Cybersecurity resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1761 stars · 189 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list and systematic literature review tracking 861+ papers on large language models applied to cybersecurity, organized into 11 categories such as LLM-assisted defense, vulnerability detection, and agentic cyber systems. It accompanies an arXiv survey paper and includes a web-based paper explorer for searching and filtering the corpus.

Use cases

• find research papers on LLMs for cybersecurity
• survey the state of LLM-based vulnerability detection
• research LLM-assisted attack and defense techniques
• find fine-tuned security domain LLMs
• track recent papers on AI agents for cybersecurity
• find evaluation benchmarks for security LLMs

When to choose

• you need a comprehensive, regularly updated bibliography of LLM-for-security research
• you are writing a survey or literature review on LLMs in cybersecurity
• you want to discover benchmarks, domain LLMs, or agentic security research directions

When to avoid

• you need runnable software or tools rather than paper references
• you need production security tooling for defending systems
• you require a formally licensed dataset (the repo has no license)

Facets

learning-resource · maturity active

documentation security llm-inference security large-language-models artificial-intelligence awesome-lists developer-tools awesome-list cybersecurity systematic-literature-review research-papers llm4security vulnerability-detection threat-intelligence web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tmylla/Awesome-LLM4Cybersecurity")