Technology
Five things have to be true for AI to operate on sensitive data safely: the data has to be protected while it's being used, not just at rest and in transit; every action has to be checked against policy before it happens, not after; anything irreversible has to be authorized by a specific person; every decision has to leave a record that holds up to scrutiny; and the whole approach has to match what independent authorities are actually asking for. Here's how Luminous addresses each one.
Encryption covers data at rest and in transit. The state left open is data while it's actually being used — in memory, being processed, readable by whatever runs on the machine. Confidential compute closes that gap, and Luminous doesn't require it to start.
Read more →Every action is checked against explicit, human-authored policy before it happens, not scored for how suspicious it looks. An action either matches a permitted pattern or it does not execute.
Read more →For anything irreversible, a specific person authorizes the specific action about to execute. The approval is bound to the literal action, not to a model-generated summary of it.
Read more →Every governed decision writes a signed entry that references the one before it. Altering an entry breaks the chain after it, so tampering is detectable rather than merely discouraged.
Read more →A government cyber coalition, an industry analyst firm, and an application-security standards body converged on the same control set independently. That convergence is the evidence, not any one endorsement.
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