Every enterprise AI call — governed before it executes. Difinity intercepts every AI request, enforces policy before execution, redacts PII automatically, and routes traffic across OpenAI, Anthropic, Gemini, DeepSeek, and Grok — without code changes. Fail-closed architecture: requests that violate policy never reach the model. PII is redacted in transit. Shadow AI is blocked while teams get governed chat. EU AI Act policies auto-update. ISO 42001 coverage across 15 areas.
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Hunter
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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?