Security was built around systems.
AI requires security around information.
AI moved the perimeter. Information now flows between humans, applications, AI agents, models, and organizations, beyond the boundaries traditional security was designed to protect.
NoData introduces a new layer where information becomes a governed object. Every unit of information carries:
Powered by the Information Access Processor. NoData computes every access decision without ever seeing your data, holding your keys, or trusting the destination.
Every disclosure is controlled. Every decision is provable.
Computing access decisions in production.
// an AI agent asks for two fields it was granted, and one it wasn't const { answer, proof } = await nd.compute({ columns: ["first_name", "plan_tier", "ssn"] }) ✕ ssn withheld · key never derived · plaintext never existed for this request // verify the decision · third-party, no key, no decryption await nd.verify(proof.id) ✓ authentic · unaltered · no key held · no data seen▍
Pick the problem you have. The platform underneath is the same one.
Your stack protects systems. NoData turns each unit of information into a self-governing object that carries its own policy, enforcement, and proof, wherever it goes.
They guard the place. NoData governs the object. Every particle of information carries its own policy, enforcement, and proof.
reject_policy_55.pdf: a medical rejection carrying an SSN, for a VIP client. What five separate systems do from the outside, NoData does as one object.
Understood field by field, in the browser, before we ever see it.
Keys for the SSN and diagnosis are never derived, except for the agent on this case.
The policy rides inside the file, even after it leaves the building.
The AI gets only the authorized context, never another client’s medical data.
Two years on, the auditor gets a math proof the SSN key was never computed.
Five systems collapse intoone self-governing object. Three calls, Create · Read · Prove.
One API · One decision · One proof. Deny-by-default, fail-closed, signed. The same gate governs a person, an app, and an AI agent, identically. It runs on top of your DLP, IAM, and cloud. It doesn’t replace them.
Seal the information and attach its rules: who, which fields, which classifications, how long. The policy travels with it.
Keys are derived only for granted fields. Everything out of scope is refused, not filtered afterward. The key is never computed.
Allow or deny, every touch binds a signed, hash-chained receipt. Export a certificate of exactly what could never be reached.
Information now moves between humans, AI agents, models, partners, and tools, and it moves at machine speed: models and agents request, combine, and forward records faster than any human can review. Once it leaves the original boundary, traditional security can tell you who had access, but it cannot prove what was revealed, or stop an unauthorized person or agent from seeing it.
Today’s AI defenses are “fundamentally probabilistic and fail to offer robust protection.” Only deterministic access enforcement can reliably prevent leakage.
NoData enforces access deterministically. Not a probabilistic filter. A deterministic key decision.
Not filtered.
Never derived.
If information is outside the scope, its key is never computed. The consumer never receives the data, and no server ever held it in the clear.
Every one of them assumes a place where the data sits open. That is the line DLP, DSPM, IAM and RAG cannot cross.
Powered by the Information Access Processor. NoData computes every access decision and delivers cryptographic proof, without ever seeing your data or holding your keys. For the people accountable for it. Security, data, and AI teams.
You carry the risk the moment AI touches regulated data. Control you can prove, to an auditor and a regulator.
Use Cursor and Copilot on private code without leaking your source. Every fix comes back with a receipt.
Roll AI out across the org with a fleet console, SSO, and audit built in. Metadata only, never content.