Bring AI to the data you can't move
Your most regulated records sit on the wrong side of the AI line because every model has to decrypt to compute.
For defence and intelligence
Mission data legally cannot move. The highest-stakes workloads stay locked out of AI entirely, or get bounced through a vendor's hosted enclave that fails the clearance test.
Mirror runs inside your network. Keys never leave. Nothing calls home.
Use cases for this audience
4 scenarios
Your most regulated records sit on the wrong side of the AI line because every model has to decrypt to compute.
"Trust us, we logged it" doesn't pass a regulator anymore. You need signed, tamper-evident proof for every decision.
To use an AI code tool you usually hand it your source, secrets, and proprietary logic. And trust a retention promise.
Defence, government, and regulated workloads can't legally move data outside their boundary. So they're locked out of AI entirely.
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FHE-native inference. Runtime agent guardrails. Continuous red teaming. One platform. Book a working session with the team.