Learn AI red teaming by attacking real AI systems.
Most “AI security” content stops at slides and payload lists. Attaxium is a hands-on AI red team course built on a real, deliberately-vulnerable lab: you attack live LLM agents, RAG pipelines, MCP tool surfaces and model servers, and learn why each attack works down to the model internals, flat context windows, shallow alignment, reversible embeddings, tokenizer gaps.
What you'll learn
The course walks the full offensive-AI attack surface, and every technique comes with the LLM-engineering reason it works, so you leave able to reason about systems it never showed you, not just repeat payloads.
Execution + why
Every attack is paired with the LLM-engineering reason it works: flat context windows, shallow alignment, reversible embeddings, tokenizer gaps. You leave able to reason about systems the course never showed you.
A real, persistent lab
Not a time-boxed toy. Deliberately-vulnerable agents, RAG pipelines, MCP tool surfaces and model servers you attack on demand. Spawn what you need, when you need it, all in a hardened, no-egress sandbox.
Depth others skip
Multi-agent abuse, MCP tool-surface attacks, model-server exploitation, supply-chain on weights: the hard half, taught by someone who builds and fine-tunes these systems.
The twelve chapters
- Ch 1 · The AI Attacker's Mindset. Why classic tradecraft falls short on AI-integrated orgs, and where the new attack surface really lives. MITRE ATLAS, OWASP LLM Top 10, the AI kill chain.
- Ch 2 · Mapping the AI Attack Surface. Fingerprint deployed models, enumerate agents and RAG pipelines, and harvest exposed keys and deploy tokens, quietly.
- Ch 3 · Breaking Vector Search & Embeddings. Invert embeddings back to text, dump vector stores, and abuse semantic search to pull data the model was never meant to reveal.
- Ch 4 · Hijacking LLM Agents. Direct and indirect prompt injection, jailbreaks, guardrail evasion, and poisoning an agent's long-term memory.
- Ch 5 · Poisoning RAG & Knowledge Pipelines. Plant instructions in documents, leak across users, defeat redaction, and read the retrieval trace to reconstruct the corpus.
- Ch 6 · Abusing Tool Use & MCP Surfaces. Tool poisoning, path traversal and SSTI through tool calls, and confused-deputy escalation over Open WebUI + MCP.
- Ch 7 · Turning Agents Against Each Other. Rogue-agent registration, forged workflow history, cross-agent confused-deputy, and LLM-mediated SQL injection.
- Ch 8 · Weaponizing the Model Supply Chain. Backdoored weights and adapters, pickle-deserialization RCE, poisoned training data, and mining the model repo.
- Ch 9 · Popping Model Servers & AI Infra. Exploit the serving stack itself: model-server bugs, SSRF, cloud IAM chains, and Kubernetes ML workloads.
- Ch 10 · Threat-Modeling AI Targets. Turn scattered findings into a plan: assumption registers, AI-specific trust boundaries, and attack-path mapping across a complex AI environment.
- Ch 11 · Full-Chain Engagement. One realistic environment, no hand-holding: recon → exploit → pivot → post-exploitation, end to end.
Who it's for
Pentesters and red teamers moving into AI, security engineers who need to threat-model LLM-integrated products, and anyone prepping for the offensive AI certs, the OffSec OSAI (AI-300) and HTB COAE. If you can use a terminal and want to actually break AI systems rather than read about it, you're the fit.
Why hands-on beats a lecture course
Video courses and slide decks teach recognition. Red teaming is a doing skill. Attaxium gives you deliberately-vulnerable AI targets you spin up on demand, in a hardened, no-egress sandbox, with the solution hidden behind a spoiler so you attempt each attack yourself first. You build real tradecraft, not a certificate of attendance.
Frequently asked questions
Do I need prior AI/ML experience?
No ML background required. Comfort with a terminal and basic offensive-security concepts is enough, the course teaches the AI internals as it goes.
Is it a certification?
No. It's a hands-on course + lab, and strong practice for the OSAI and COAE certs, but it doesn't issue its own credential.
Can I try before I buy?
Yes, break your first LLM in the browser, free, no signup.
Start breaking AI systems today.
Try the free lab, then get full access at early-bird pricing.
Attaxium is an independent training provider and is not affiliated with, endorsed by, sponsored by, or otherwise associated with OffSec or Hack The Box. OSAI, AI-300, OSCP, HTB and COAE are trademarks of their respective owners and are referenced here only to describe the certifications this material helps you prepare for.