Adversarial AI for Security Engineers
Frontier AI has already written offensive tools that find zero-days at scale — locked behind 40-org access lists. Hades gives you the same class of defense, running inside your own cloud.
Your engineers ship fast — and so do the models writing half the code. Hades keeps pace by scanning every commit for exploitable weaknesses, from classic injection and auth bypass to prompt injection and unsafe tool chains — then proves each one with a working payload before it hits main.
Trusted by security teams at
>target acquired: src/auth/session.ts
>mapping trust boundaries...
>hypothesis: session token survives logout
>spawning sandbox [hades-a7f3]
>payload: replay stale token (T+47s)
>executing...
|SUCCESS — token valid post-logout
!impact: account takeover
!severity: critical (9.1)
>reproduction: attached
>sandbox destroyed
|
Hades is an autonomous red team. It reasons adversarially about your codebase the way a skilled attacker would — enumerating trust boundaries, chaining weaknesses across services, and synthesising working exploit payloads against live targets inside your own environment. The output is not a list of suspects; it's a set of reproducible zero-day-class findings with the exploit path, the payload, and the patch that closes it.