Hack The Box made its name with vulnerable machines for penetration testers, and HTB Academy is its structured course side. The AI Red Teamer job role path was built with Google and follows Google's Secure AI Framework. It has 12 modules covering the fundamentals of how models work, prompt injection and jailbreaks, attacks on AI applications, adversarial examples and evasion, data poisoning, model and data privacy attacks such as membership inference, and supply chain and deployment risks. The range is the main reason I rate it. Most AI security training stops at prompt injection because that is easy to demo in a browser.
This path spends real time on attacks against the model itself, which means you write code to craft evasion inputs and poison training sets, and you see how little it takes. For ML engineers that is sobering in a useful way, and I would argue they get more from it than pentesters do. The path leads to the HTB Certified Offensive AI Expert, or COAE, launched on 2 April 2026. The exam runs for seven days and you finish by submitting a commercial grade technical report. I like that design.
It tests whether you can find and explain problems to a client, which is the job, rather than whether you remember definitions. The weak spot is pricing. HTB Academy runs on Cubes, a credit system with a small free starting balance, alongside tiered subscriptions, and HTB recommends the Silver Annual plan for the certification without the announcement stating the price. Work out the total before you commit. The other caveat is maturity.
The credential is months old, and dataforseo shows only a trickle of searches for the path, so do not expect recruiters to ask for it yet. My take: excellent content for a niche that is growing slowly. If you already do offensive security or you build models and want to understand attacks, it is the best structured option I have seen.