A curated list of links, references, books, videos, tutorials (Free or Paid), Exploit, CTFs, Hacking Practices, etc., which are related to GenAI, LLM, RAG, MCP, Agents, and Agentic AI security.
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Xalgorix — Open-source AI pentester that proves vulnerabilities
Most scanners detect. Xalgorix proves. An autonomous LLM agent works a full pentest methodology, then an independent verifier re-exploits every finding before it's reported — so you get proof, not a pile of maybes to triage. Self-hosted, private, and bring-your-own-LLM. Built in Go + TypeScript.
Large Language Models are changing the way organizations build, automate, and secure technology. But with this innovation comes a new class of security risks, including prompt injection, jailbreaks, tool poisoning, insecure AI agents, RAG data leakage, shadow AI, and MCP security issues.
The Certified LLM Security Professional (CLLMSP) exam was designed for professionals who want to understand, test, secure, and govern LLM-powered systems in real-world environments.
This certification covers key areas such as:
• LLM architecture and security fundamentals
• OWASP Top 10 for LLMs
• Jailbreak attacks and defenses
• MCP security
• AI agents and orchestration risks
• AI governance, NIST AI RMF, ISO/IEC 42001, and EU AI Act
• Data privacy and compliance
• Secure AI-assisted development
• Incident response for AI systems
The exam includes 200 questions across 9 domains and is built for Security Engineers, AI/ML Engineers, Red Teamers, Pentesters, DevSecOps professionals, GRC teams, CISOs, and anyone working with AI security.
Use the coupon below to take the exam for free:
Coupon: AISECURITYFORALL
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