Overview What You Will Learn Curriculum Instructor

Course Overview

Modern RAG applications combine large language models with external knowledge sources, vector databases, retrieval pipelines, and AI agents. As these systems become increasingly integrated into enterprise applications, understanding their security weaknesses is critical. Attackers can exploit weaknesses in data ingestion, retrieval, context handling, vector databases, and agentic tool usage to manipulate model behavior, extract sensitive information, or compromise connected systems. This course begins with the foundations of RAG security and progresses through vector database exploitation, embedding inversion, SEO-RAG poisoning, steganography, metadata poisoning, context hijacking, context overflow, indirect SSRF, and confused deputy attacks. It then moves into defensive techniques including text sanitization, semantic chunking, ingestion firewalls, XML sandboxing, grounding evaluators, and LLM defenses. Learners also explore automated red teaming using Promptfoo and Garak, analyze real-world RAG breaches, and apply their knowledge through a capstone CTF challenge. By completing this course, you will understand how to identify, exploit, and defend against advanced security threats targeting RAG pipelines, vector databases, LLM contexts, and AI agents.

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

Program Curriculum

  • Meet Your Instructor
  • Course Overview & Roadmap
  • Evolution & Security Blindspots
  • Chapter 1 Quiz

  • Theory: Vector DBs & Embedding Inversion
  • Practical: Vector DB Heist
  • Chapter 2 Quiz

  • Theory: SEO-RAG Poisoning & Steganography
  • Practical: Metadata Poisoning
  • Chapter 3 Quiz

  • Theory: The "Lost in the Middle" Exploit
  • Practical: The Context Overflow Exploit
  • Chapter 4 Quiz

  • Theory: Indirect SSRF & Tool Abuse
  • Practical: The Confused Deputy Attack
  • Chapter 5 Quiz

  • Theory: Text Sanitization & Semantic Chunking
  • Practical: Building the Ingestion Firewall
  • Chapter 6 Quiz

  • XML Sandboxing & Grounding Evaluators
  • Chapter 7 Quiz

  • Automating Audits with Promptfoo & Garak
  • Chapter 8 Quiz

  • Deconstructing Major RAG Breaches
  • Chapter 9 Quiz

  • Capstone CTF Challenge
  • Chapter 10 Quiz
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Instructor

Armaan Sidana

Armaan Sidana is a multifaceted individual with a passion for excellence across various domains. His expertise lies in the dynamic field of cybersecurity, where he holds notable certifications such as OSCP, CEH, CISA, and CSFPC. As a committed professional, He consistently seeks opportunities to contribute to the ever-evolving landscape of information security. Secured 100+ Companies with 1500+ Security Bugs. Mentored 25000+ students till now, being the guest lecturer at many educational institutions.

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