Your product. A separate place to test.
Start with an approved repository and clear boundaries. Recreate the parts that matter with test accounts and synthetic data.
Production stays outside the range.Security testing, with the repair built in.
One team finds the weak spot. Another makes it stronger. AI security agents bring you the proof, the repair, and a clear way forward.
The finding is the beginning.
Your engineers need to know what broke, why it broke, and whether the fix actually holds. We keep that whole story together.
The process
Start with an approved repository and clear boundaries. Recreate the parts that matter with test accounts and synthetic data.
Production stays outside the range.Attack agents challenge the weak paths. Repair agents trace the evidence back to the cause and prepare a focused repair. The finding and the fix stay connected.
Two teams. One accountable handoff.Independent replay challenges the repair in a fresh replica. Your team gets the evidence, the proposed change, and the decision to make.
Nothing ships without your review.From evidence to a decision
A finding you can follow. A focused repair you can inspect. An independent replay that shows what changed and what remains unknown.
See what a review includesIn this example, an account permission check happens after the data is read.
An example of the review format. No live test is running.
Ambitious testing. Clear limits.
Give the work room to be useful, with the control to keep it contained.
You approve the repository, systems, accounts, and techniques before the work starts. Expanding that scope is a separate decision.
Testing happens in an isolated copy with test accounts and synthetic data. Production access and customer credentials stay outside the range.
Every proposed repair comes back for human review. You control when to start, stop, expand, and ship the work.
For teams who keep building
Early design partner programBring us the product you’re building.
Let’s talk about making it harder to break.