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LLM SECURITY / 30 MODULES
LLM Red Teaming
Assess modern LLM applications, RAG systems, tools, MCP servers, and autonomous agents.
An advanced program for testing AI systems beyond novelty jailbreaks. Learn direct and indirect prompt injection, RAG and knowledge-base poisoning, tool abuse, excessive agency, agent identity attacks, MCP security, memory poisoning, supply-chain risk, code execution, denial of service, multimodal testing, automation, guardrail validation, and framework-aligned reporting.
THE COMPLETE ROADMAP
What you’ll study
- 01LLM Fundamentals for Security TestersComing soon
- 02Anatomy of Modern LLM ApplicationsComing soon
- 03Threat Modeling AI and LLM SystemsComing soon
- 04LLM Red Teaming MethodologyComing soon
- 05Direct Prompt InjectionComing soon
- 06Indirect Prompt InjectionComing soon
- 07Jailbreak and Safety Bypass TestingComing soon
- 08System Prompt and Instruction LeakageComing soon
- 09Sensitive Information DisclosureComing soon
- 10Retrieval-Augmented Generation FundamentalsComing soon
- 11RAG and Embedding Security WeaknessesComing soon
- 12Knowledge Base and RAG PoisoningComing soon
- 13Data and Model PoisoningComing soon
- 14Improper Output HandlingComing soon
- 15Tool and Function Calling SecurityComing soon
- 16Excessive Agency and Permission AbuseComing soon
- 17Agent Goal HijackingComing soon
- 18Agent Identity and Privilege AbuseComing soon
- 19Model Context Protocol (MCP) SecurityComing soon
- 20Multi-Agent and Agent-to-Agent SecurityComing soon
- 21Memory and Context PoisoningComing soon
- 22Agentic Supply Chain SecurityComing soon
- 23Unexpected Code Execution and SandboxingComing soon
- 24Model and AI Supply Chain SecurityComing soon
- 25Availability and Economic Denial-of-Service AttacksComing soon
- 26Multimodal LLM Red TeamingComing soon
- 27Automated LLM Red Teaming and EvaluationComing soon
- 28Guardrails and Defense ValidationComing soon
- 29AI Security Reporting and Framework MappingComing soon
- 30Final LLM and Agentic AI Red Team AssessmentComing soon