No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by AmanPriyanshu · Agent Tool · ★ 145
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Awesome-AI-For-Security safe to install? View the security audit →
Awesome AI for Security A curated list of tools, papers, and datasets for applying AI to cybersecurity tasks. This list primarily focuses on modern AI technologies like Large Language Models (LLMs), Agents, and Multi-Modal systems and their applications in security operations. Found this resource helpful for your security research? Consider adding a star ⭐ to support the ongoing curation effort. Contents Related Awesomes Lists Models Specialized Security Models Datasets Pre-Training Datasets IFT & Capability Datasets Security Benchmarks & Vulnerability Datasets Benchmarks & Evaluation Vulnerability Assessment Threat Intelligence Offensive Security General Security Knowledge Publications Models & Datasets Benchmarking & Evaluations Other Tools & Frameworks Adversarial ML Security Testing Learning Environments Security Agents [Autonom
| Stars | 145 |
| Forks | 20 |
| Category | Agent Tool |
| License | CC0-1.0 |
| Quality Score | 60.2192147220264/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-13 |
| Created | 2025-04-30 |
| Est. Tokens | ~12k |
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Awesome-AI-For-Security is A curated list of tools, papers, and datasets for applying AI to cybersecurity tasks. This list primarily focuses on modern AI technologies like Large Language Models (LLMs), Agents, and Multi-Modal s. It is categorized as a Agent Tool with 145 GitHub stars.
You can find installation instructions and usage details in the Awesome-AI-For-Security GitHub repository at github.com/AmanPriyanshu/Awesome-AI-For-Security. The project has 145 stars and 20 forks, indicating an active community.
Awesome-AI-For-Security is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to Awesome-AI-For-Security on Agent Skills Hub include Wazuh-MCP-Server, awesome-AI-toolkit, allama. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: