Detail kurzu

Offensive AI Exploits and Security (LFWS320)

EDU Trainings s.r.o.

Popis kurzu

LLM applications introduce a new class of vulnerabilities that existing playbooks weren’t designed to address. This hands-on course gives you the specialized offensive knowledge to find, exploit, and remediate all 10 attack classes in the OWASP® Top 10 for LLM applications, from RAG prompt injections to multi-agent pipeline poisoning. Exploit all 10 vulnerability classes in the OWASP® Top 10 for LLM Applications, including prompt injection, guard bypass, indirect injection, memory poisoning to multi-agent pipeline poisoning, and recommend LLM-native defensive architectures to remediate them.
Move into AI red-teaming, LLM penetration testing, and AI security engineering roles by demonstrating the ability to assess, exploit, and advise on the security of LLM-powered applications.

Obsah kurzu

Introduction & Setup

LLM architectures (RAG, agents, multi-agent), OWASP® Top 10, attack surface mapping.

Direct Prompt Injection



RAG attacks, semantic retrieval, data extraction, dual-LLM defenses.



Guard Bypass


Encoding bypass, synonym attacks, multi-step extraction, guard hardening.



IP/Header Spoofing


X-Forwarded-For, LLM auth delegation risks, context injection.



Agent Tool Abuse


LangChain/LangGraph abuse, command execution, tool scoping.



Indirect Injection & SSRF


Data vs instruction boundary, webhook SSRF, sanitization.



Multi-Modal Injection


Vision model attacks, steganography, dual-vision guards.



Memory Poisoning


Conversational memory abuse, escalation spoofing.



Schema Confusion


Function-calling abuse, path traversal, tool ambiguity.



Customer Support AI


Multi-Agent Poisoning


Capstone & Wrap-Up

Cieľová skupina

For penetration testers, red teamers, security engineers, and AI/ML engineers who need hands-on offensive skills for LLM-powered applications. Also relevant for AppSec and DevSecOps professionals integrating AI into existing pipelines.
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