Wyrework helps teams build governance rules for their AI agents. That's the pitch. But a pitch without practice is just noise.
So here's what we actually do: we run adversarial tests against our own agents. Not once. Not as a launch milestone. As a standing discipline.
The discipline, not the demo
Our AI Risk Check — powered by Vera — is a free tool that helps teams assess how exposed their AI workflows are. She asks hard questions. She maps risks. She surfaces what people would rather not think about yet.
She also gets tested the same way a hostile actor would test her.
We throw inputs designed to confuse, redirect, and extract. We probe the boundaries of what she'll accept and what she'll refuse. We test whether her structure holds when someone pushes against it — and we do it with enough breadth that we're not just confirming what we already believe.
This isn't a security demo. It's how the platform operates.
Layers, not prayers
We don't rely on a single safety mechanism. Vera's governance rules are one layer. The way inputs are handled before they reach her is another. The structured contracts that define how she responds make manipulation visible — a response that doesn't fit the expected shape stands out before it reaches anyone. And an independent review process checks the work before any verdict is final.
Each layer covers what the others miss. No layer is the hero. The point is that a single failure doesn't cascade.
Our security baseline maps to the OWASP Top 10 for LLM Applications and the OWASP Top 10 for Agentic Applications 2026. We didn't invent a framework. We adopted the ones the industry has converged on, and we encode them so our agents follow them in production — not as guidelines, but as rules with teeth.
Safer, not safe
We don't claim Vera is invulnerable. We don't claim any agent is. The honest position — the one we take with clients and apply to ourselves — is that certainty doesn't exist in agentic systems. What exists is discipline.
Every test we run produces signal. The signal sharpens the rules. The rules produce cleaner tests. The cycle doesn't end with a passing score. It ends when we stop running it, and we don't plan to stop.
This is what "safer, not safe" means when you apply it to your own house. We sell governance that executes. We'd better execute it on ourselves first.
Why this matters for you
If you're evaluating AI governance platforms, ask the vendor a simple question: do you test your own agents the way you tell clients to test theirs?
The answer tells you whether they've walked the wire or just drawn a picture of it.
Wyrework helps teams design the rules their AI agents need — and gets smarter every time. Start with the free AI Risk Check and see what Vera finds.