Advanced RAG Security and LLM Security

Learn AI Red Teaming to defeat prompt injection, secure Vector DBs, and defend Agentic RAG pipelines from exploits.

What You Will Learn:

Execute advanced AI Red Teaming techniques to exploit Vector Databases, bypass semantic filters, and uncover hidden prompt injections in RAG pipelines.

Design and implement a zero-trust 4-Gate Defense Architecture to sanitize data ingestion, enforce XML prompt sandboxing, and prevent cross-tenant data leaks

Mitigate critical Agentic RAG vulnerabilities, including Server-Side Request Forgery, unauthorized database manipulation, and "Confused Deputy" tool abuse.

Build deterministic output guardrails and LLM-as-a-Judge evaluators to enforce strict factual grounding, stop AI hallucinations, and block PII exfiltration

Automate continuous LLM security testing integrate CI/CD vulnerability scanning using industry-standard frameworks like Promptfoo, NVIDIA Garak, and Microsoft

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Prompt Injection & LLM Defense

Develop skills in testing prompt injection, RAG poisoning, and agent-based attacks, applying layered defenses, and using Promptfoo, Garak, and PyRIT to assess LLM security.


Limited time offer: Add this course for just $1 to gain another top cybersecurity skill for 2026! 

AI Reverse Engineering with OpenClaw, Codex, Claude, and MCP

Gain practical experience integrating AI assistants with reverse-engineering tools and applying them to software analysis, debugging, and authorized security research.


Limited time offer: Add this course for just $1 to gain another top cybersecurity skill for 2026! 

AI-powered Threat Modeling

Learn to apply STRIDE and PASTA, create structured threat models, and use GenAI tools to identify threats, prioritize risks, map mitigations, and document findings.


Limited time offer: Add this course for just $1 to gain another top cybersecurity skill for 2026! 

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