AI for cyber offense and defense

Uncensored AI models attack your own product the way a real attacker would, from sealed sandbox VMs, so your team fixes the weak spots first.

Create inference

  1. Apply

    Tell us who you are. Every application is reviewed by hand.

  2. Scope

    List the sites it may reach. Nothing else is reachable.

  3. Attack

    Uncensored models attack them as a real attacker would.

  4. Report

    What it finds comes back to you, file by file.

  5. Defend

    Your team fixes what they found, then attacks again.

Find it before they do.

Attackers start with the same few weak spots. Your security harnesses can try them too, on the sites you list.

A fence around every test.

List the sites a test may reach. Its VM connects to those, over HTTPS, and to nothing else.

A test that does not stop halfway.

A filtered model refuses partway through an attack and leaves the real holes unfound. Five security harnesses on your uncensored models see it through.

Questions.

What is AI for cyber offense and defense?

AI models attack your own systems the way a real attacker would, and your team uses what they find to defend them. Offense finds the weak spots; defense closes them.

Why uncensored models?

Attackers use models that do not refuse. A model that refuses stops halfway through an attack and misses what a real attacker would find.

Who can use it?

Organizations we can verify, for systems they own or have written permission to test. Every application is reviewed by hand, and approval is not guaranteed.

What can the models reach?

Only the sites you list for the test: the harness’s VM connects to those, over HTTPS, and to nothing else.

What do we get?

Every step runs in your terminal as you watch, and what the harness writes, its findings included, comes back to your folder only as you review it.

AUTHORIZED TESTING ONLY.

Attack your product before others do.