Master AI Red Teaming
Through Practice
Real-world labs that teach you how to attack and defend AI systems - prompt injection, RAG poisoning, agent exploitation, and more.
Skills That Matter in the Real World
Prompt Injection
Attack AI systems by injecting malicious instructions that override the original system prompt and exfiltrate sensitive data.
AI Reconnaissance
Fingerprint AI deployments, enumerate endpoints, identify models, and map knowledge bases - just like a real pentest engagement.
RAG Pipeline Attacks
Poison retrieval-augmented generation pipelines to hijack responses, redirect users to phishing pages, and persist backdoors.
Agent Exploitation
Manipulate AI agents through direct and indirect injection - extract credentials, abuse tool access, and corrupt memory stores.
Multi-Agent Systems
Attack A2A protocols, register rogue agents, spoof identities, and inject payloads that propagate across agent pipelines.
Threat Modeling
Learn to build attacker-centric threat models for AI-enabled systems - from data pipelines to deployed production LLMs.
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