Use case
Attack your AI before someone else does.
The safest way to find out how your AI breaks is to break it yourself, on purpose, in private. Trinitite runs known attacks against your AI and shows you where it bends, before a real attacker finds the same door.
Without a Guard
What goes wrong on its own.
Left alone, AI does not just say the wrong thing. It does the wrong thing, at the worst possible time.
You do not know how your AI behaves under a determined attack.
New attack tricks appear faster than any team can track by hand.
Finding out in production is the worst possible time.
The save
Watch the Guard make the catch.
A risky move comes in. The Guard catches it before it runs, then writes down what it did and why. That is the whole job, in one picture.
How Trinitite helps
Put a Guard on it.
Run the attacks safely
Trinitite throws a library of real-world attacks at your AI in a safe setting and reports what got through.
Fix before you ship
Turn findings into rules your Guard enforces, so the same trick will not work twice.
Keep testing
New attacks are added over time, so your AI keeps getting tested as the threats change.
The payoff
Let AI act. Keep the wheel.
In our own tests, misconfigured AI sandboxes were broken into almost every time. A small Guard doing the checking held determined attackers to zero break-ins. See the research.
What powers this
The pieces you would use.
Turn on what you need. They tell one story and get stronger together.
Questions
Straight answers.
Is it safe to run these attacks?
Yes. They run in a controlled setting against your own systems, so you learn the weak spots without real damage.
What do I do with the results?
Each finding becomes a rule your Guard can enforce, closing the door for good.
Ready when you are
Let's put a Guard on your AI.
Bring the workflow that worries you most. We will show you the risky move getting caught before it runs.