Bayora AI Governance Platform: Cryptographic control plane for enterprise AI

At Bayora, a useful finding shows how often an attack worked, how reproducible it was and what it led to. 92 successes in 100 runs means a 92% observed attack success rate for that setup, with confidence reported separately. We also map the attack path, such as prompt injection leading to an unauthorised tool call and data exposure. On expected behaviours, do you mean plain language rules or structured test cases for allowed actions and data access?

The question I want every AI founder to answer before launch

What happens when someone deliberately tries to make your AI application behave outside its intended boundaries?

That question is central to what we’re building at DomAiynlabs.

Bayora focuses on AI security testing, including red teaming and guardrail testing. The goal is to help teams understand where their application can fail before they put it in front of customers.

I want security testing to become a practical part of shipping an AI product.

You can try Bayora here: https://bayora.co

For founders already shipping AI features, how are you testing misuse today? And what makes security testing difficult to fit into your release process?