A Strategic Knowledge Base for AI Security Engineers, Cloud Architects, and Cyber Defense Professionals
GenAI Security Hub is a community-driven, open-source AI Security Knowledge Base focused on safeguarding Generative AI (GenAI) ecosystems.
It unites AI researchers, cybersecurity engineers, cloud specialists, and automation developers under one mission — to learn, build, and defend AI systems against emerging threats.
- Deep insights into LLM threat landscapes, AI supply chain risks, and attack modeling
- Tactical methodologies for AI model governance and pipeline hardening
- SOC-aligned incident response, threat detection, and AI-driven monitoring
- A growing toolkit of scripts, automation resources, and framework references
| Directory | Description |
|---|---|
| 01-Introduction-and-Fundamentals | Core concepts of AI security, GenAI risk surface, and foundational awareness. |
| 02-securing-gen-AI | Strategies for building secure AI pipelines, CI/CD hardening, and model integrity validation. |
| 03-prevention-and-securing | Frameworks for access control, API key protection, and proactive defense measures. |
| 04-SOC-in-GENAI | SOC methodologies, red teaming, and AI threat detection playbooks. |
| Tools-and-scripts | Curated tools, scripts, and automation resources for testing and securing GenAI environments. |
AI systems are attack surfaces in motion — model poisoning, prompt injection, data leakage, and adversarial manipulation are now real-world threats.
This repository acts as a central hub for professionals seeking practical, validated, and actionable GenAI security methodologies.
- ✅ Security best practices for LLM deployment and governance
- 🧠 Research-aligned insights for AI red teaming and threat modeling
- ⚙️ Ready-to-use security automation scripts
- 📊 Continuous updates aligned with industry frameworks (MITRE ATLAS, NIST AI RMF)
git clone https://github.com/Mr-Infect/GEN-AI-security.git
cd GEN-AI-securitycd 01-Introduction-and-FundamentalsStart with the fundamentals → progress to SOC-level intelligence → integrate the provided scripts and tools.
This repository is actively evolving. Upcoming releases include:
- 🧩 AI Vulnerability Scanner — for model and prompt injection testing
- 🧰 CLI-based GenAI Defense Toolkit — automate AI system auditing
- 🛰️ LLM-aware SOC Dashboards — real-time visual threat monitoring
- 📚 Threat Intelligence Feeds for GenAI
- 🤖 Integration with Grapnel AI and MCP Frameworks
⚙️ Status: Continuous Improvement — Weekly content and code updates under review.
We welcome contributors, researchers, and security professionals to help scale this mission.
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Fork the repository
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Create a new feature branch
git checkout -b feature/your-feature
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Commit your updates
git commit -m "Added AI threat detection script" -
Push & Submit your Pull Request
💡 Ensure your contribution aligns with ethical AI principles and responsible disclosure.
This initiative is maintained to build free, open knowledge for AI security. If you’d like to support the vision — you can help fuel development and research.
- 🧑💻 Maintainer: Mr-Infect (Deepu A.)
- 🤝 Contributor: khaled-32
- 💬 Join Discussions: Open issues, suggest topics, or propose enhancements.
- 🌍 Collaboration: Academic, industry, and research-grade partnerships are encouraged.
If this repository helped you learn, build, or defend AI systems, consider:
- ⭐ Starring this repo
- 🧠 Sharing it within your security community
- 🔁 Contributing or opening a feature request
“AI without security is intelligence without trust. Let’s build a safer future for Generative Systems.”
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