Difinity.ai | Intercept, govern, and audit every AI request in real time

We built Difinity because we kept seeing the same problem at every regulated enterprise: dozens of teams adopting AI tools independently, no central visibility, and compliance teams scrambling to audit what already happened. The governance was always retroactive — spreadsheets, manual reviews, incident reports after PII had already been sent to a model. The fundamental issue is that existing tools treat AI governance as an afterthought. You get a DLP scanner here, a cost tracker there, a compliance checklist somewhere else, and a logging tool bolted on top. None of them intercept requests before execution. None of them enforce policy at runtime. We wanted a single platform where every AI request is policy-checked before it reaches any provider. Where PII is redacted in transit, not flagged after the fact. Where switching from one LLM provider to another takes a configuration change, not a code rewrite. What makes Difinity different is the fail-closed architecture. If the platform cannot verify a request against your policies, it does not pass through. This is not a monitoring tool that alerts you after a breach — it is a runtime enforcement layer that prevents the breach from occurring. We offer three integration levels so you can start where you are comfortable — verify-only, audit-only, or full gateway mode. We would genuinely appreciate your feedback. What governance challenges are you facing with AI adoption?