Hands-On AI Security Training

Learn to hack AI systems before attackers do.

Practice on real AI systems in your own private lab. No setup, no theory-only videos — just hands-on from day one.

20 attack scenarios 60+ lessons Verifiable certificate

AI is everywhere. Almost nobody knows how to secure it.

Every company is racing to deploy LLMs, AI agents, and copilots. But the people responsible for securing these systems were never trained to attack or defend AI. The result is a massive, dangerous skills gap at the exact moment AI becomes critical infrastructure.

$180K–$280K

AI security roles pay this range, but most cybersecurity professionals aren't qualified to fill them

35%

Surge in AI red-teaming demand projected by 2028 — and almost no training pipeline to meet it

600+

Contributors to the OWASP LLM Top 10 — massive community interest, but no structured learning path

0

Platforms 100% dedicated to hands-on AI attack training with real models and isolated sandboxes

Traditional security training hasn't caught up

Security teams are being asked to audit LLM deployments, test AI agents for prompt injection, and build AI threat models — with zero hands-on training. Existing options are either unaffordable, passive, or treat AI as an afterthought.

  • $8,000 three-day courses (not repeatable)
  • Video-first — watch someone else hack AI
  • One prompt injection module buried in 500+ generic labs
  • One-shot $1,499 certifications with no ongoing practice
  • Free CTFs that are fun for 10 minutes — no curriculum
  • 20 attack labs with isolated cloud sandboxes running real LLMs
  • Hands-on from day one — you attack, not watch
  • 6-level structured curriculum covering the full AI threat landscape
  • Progressive difficulty from first injection to multi-agent chains
  • Verifiable certificate that proves you can actually red-team AI

The attack surface is exploding — and defenders are scarce

The shift Every company is now an AI company

LLMs, copilots, and AI agents are being deployed into production across every industry — most without any adversarial testing.

The gap Security teams aren't trained for this

Traditional pen testing doesn't cover prompt injection, RAG poisoning, or agent hijacking. Existing training is passive, expensive, or nonexistent.

The opportunity AI red teamers are the most in-demand role in security

Companies are hiring faster than the talent pool can grow. Those who build this skill now will define the field for the next decade.

Your move Start attacking AI in a real sandbox today

FreakLabs gives you isolated cloud environments with live LLMs. No setup, no theory-only courses — just hands-on offensive AI security from day one.

From zero to AI red team operator

A structured curriculum covering the full 2026 AI threat landscape — OWASP LLM Top 10, Agentic Top 10, MITRE ATLAS, MCP vulnerabilities, and live CVE tracking. Read the theory, then practice in the labs.

Level 1 AI Security Landscape

How LLMs work, OWASP Top 10, threat landscape

Level 2 Prompt Injection & Data Attacks

Direct/indirect injection, data leakage, output exploits

Level 3 Infrastructure & Supply Chain

RAG poisoning, MCP vulnerabilities, supply chain attacks

Level 4 Multimodal & Agentic Attacks

Image/audio injection, agent exploitation, rogue agents

Level 5 Red Team Methodology

MITRE ATLAS, campaign execution, security programs

Level 6 Live Intelligence

Real-time CVE feed, incident analysis, framework updates

AI Mentor · Beta

The world's first AI-powered AI security training platform.

A frontier-model tutor that has read every lesson, knows your progress, and pulls in this morning's CVEs — built specifically to train the next generation of AI red teamers.

Context-aware

Already read every lesson, every takeaway, every lab brief. You don't paste the curriculum into a prompt — it lives there.

Cross-lesson memory

Remembers what you've covered, what tripped you up, and where you got stuck. Doesn't make you re-explain yourself every Monday.

Live intel, woven in

New CVEs, incidents, and research land in the curriculum within hours — your tutor knows about yesterday's breach. No knowledge cutoff.

Why not just open Claude in a new tab?

A blank Claude tab

  • No idea which lesson you're on
  • Doesn't see your lab progress
  • Knowledge cutoff blocks fresh CVEs
  • Refuses offensive security without setup
  • Forgets you the moment you close the tab

FreakLabs AI Mentor

  • Reads the lesson with you
  • Sees every solved + skipped lab
  • Pulls today's CVEs into the chat
  • Defensive framing pinned in — no jailbreak dance
  • Cross-session memory, persisted in your profile

Same Claude model. Different context. Frontier intelligence, scoped to your curriculum, your lab, your week.

Attack labs

20 hands-on scenarios across 4 tracks. Pick a target, launch a private sandbox, capture the flag.

Active sessions

Resume a running lab or stop it before starting the next one.