LLM Red TeamSecurity Assessment Methodology
Master the art of LLM security testing with this comprehensive 11-module curriculum.62 sections • 460 minutes of expert content
Learning Progress
0 of 11 modules completedFoundations
LLM architecture, transformer mechanics, attack surface mapping, OWASP LLM Top 10. Understanding how modern language models process text through tokenization, embedding, transformer layers, and output generation.
Prompt Injection
Direct & indirect injection, delimiter attacks, context manipulation, obfuscation techniques. Learn how adversaries override system instructions through carefully crafted user input.
Jailbreaking
DAN & personas, roleplay attacks, framing techniques, multi-turn strategies, technical bypasses. Techniques to circumvent safety guardrails and content policies.
Data Extraction
Prompt leaking, training data extraction, PII harvesting, exfiltration channels. Techniques to extract sensitive information from LLM systems.
Agent Attacks
Tool abuse, goal hijacking, attack chains, persistence mechanisms, agent worms. Exploitation techniques for autonomous LLM agents with tool access.
RAG Attacks
Document poisoning, embedding manipulation, retrieval exploitation, knowledge base attacks. Targeting Retrieval-Augmented Generation systems.
MCP Security
Tool poisoning, rug pulls, cross-server exfiltration, server-specific attacks, defense strategies. Security of Model Context Protocol integrations.
Multimodal
Vision attacks, image injection, audio exploits, cross-modal manipulation techniques. Attacking LLMs that process images, audio, and other modalities.
Model-Level
Training poisoning, adversarial examples, model extraction, supply chain attacks. Deep attacks targeting the model itself.
Defense Evasion
Filter bypass, encoding tricks, obfuscation, semantic evasion, fingerprinting defenses. Techniques to evade LLM security controls.
Methodology
Professional red team framework, reconnaissance, exploitation phases, reporting standards. Complete LLM red team assessment methodology.
