Use case
Model risk management for AI that changes.
Traditional model risk assumes a model that sits still. Modern AI does not. Trinitite gives your model-risk team living evidence, change control, and proof that every version behaved, the way SR 11-7 expects.
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.
Language models change behavior in ways a spreadsheet cannot capture.
Validating a model once and filing it away no longer reflects reality.
Regulators expect the same rigor for AI as for any other model.
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.
Living validation
Every version is tested and graded, and the results are kept, so you can show how each one behaved.
Change control built in
A new model does not go live unless it passes your bar first. Regressions get blocked at the door.
Evidence on tap
Model documentation and results assemble themselves for your validators and examiners.
The payoff
Let AI act. Keep the wheel.
What powers this
The pieces you would use.
Turn on what you need. They tell one story and get stronger together.
Questions
Straight answers.
Does this satisfy SR 11-7?
It gives your model-risk function the ongoing validation, change control, and documentation the guidance expects, tailored to AI that changes.
Can I compare two models?
Yes. Grade a challenger against your champion on the same tests before you promote it.
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.