True data sovereignty is not determined by where data is stored. It is determined by who controls it — and under what conditions.
Enterprises spent a decade layering identity, endpoint, and network defenses around their data. Every layer still leaves the record itself readable — and every stolen key, insider, or AI agent is a single event away from the whole store.
Standard encryption keys unlock the whole store. One key, everything.
Not per record, not per request, not per context. Login is a gate, not a judgement.
Agents and RAG pipelines inherit whatever the API allows — and ask for exactly the fields policy was meant to protect.
Google set 2029 as its own migration deadline, years ahead of NIST's 2035 guideline. For most stacks PQC is a rewrite, not a config flip.
Every write is tokenized and distributed. Every read passes a live policy decision before anything reassembles. The engine only ever handles ciphertext.
Data is split into cryptographic fragments — the plaintext never persists.
Fragments are placed across independent stores; no single store holds a readable record.
The Policy Engine decides live: context, classification, quorum — approve or deny.
The Policy Engine checks context — device, location, time, behavior, classification, mission — and can require quorum from your own authenticators when the stakes call for it. Otherwise it stays sealed.
Privicore continuously weighs context — device, location, time, behavior, classification, mission — and can quietly deny or step up a request before anyone notices. For the highest-stakes moments it brings your own trusted people into the loop.
“Badged in from New York an hour ago, and this request is coming from Amsterdam? That's not humanly possible — access is denied automatically, no vote required.”
Outcomes: allow · deny · step up · redact · require quorum. No single stolen credential is ever enough.
Claims cover encryption, device management, and the voting mechanism itself.
Covers Deception Operations™, Counter Intelligence™, and AI-driven control.
The Data Control Layer™ is implemented entirely in Rust — memory-safe, high-performance, and post-quantum ready by configuration rather than rewrite. The federated storage daemon is written in Go.
Records become non-reversible cryptographic tokens before they touch storage.
Independent keys per fragment, per policy, per environment.
No single store holds a complete record — even the operator cannot reassemble it.
A live policy decision on every read — never a static credential lookup.
Memory-safe by construction, cross-platform across cloud, edge, and embedded environments, with an API-first SDK architecture designed for mission-critical deployment.
Privicore controls what AI can retrieve, process, generate, and share. Every agent, RAG pipeline, and LLM asks live, screened, for exactly what it needs — and a separate model does the judging.
No standing keys. Every retrieval is one live call.
Tokenizes each request, then screens it for injection, policy violation, and drift before any data is touched.
Only what policy allows — never the whole picture from one place.
Flagged, escalated, and written to the audit chain.
Different outcomes — because intent is judged, not just identity.
The model that asks is never the model that approves.
A digital chain of custody on every single data interaction.
Nobody replaces Okta, CrowdStrike, or their DSPM to buy Privicore. Each of those solves a real problem — none of them decides, at the moment of access, whether this particular request should see this particular record.
Data is decrypted to be used. No live policy decision at the moment of access.
Visibility without enforcement — it tells you the door is open.
It does not control the underlying data the model retrieves.
Trust is granted at the perimeter, not per data request.
Patient data is the highest-value AI training surface and the highest-regulated. A single leak is a reportable event.
Customer records, transactions, and fraud models — exactly what breach headlines are made of.
Sovereign AI, secure communications, and mission data an adversary must never read — even after breaching the network.
RAG pipelines, copilots, and autonomous agents were never built with a way to say no.
Live video and sensor feeds chunked and tokenized in parallel — protected without slowing the stream.
The key itself is tokenized, so a copied key simply doesn't work anywhere else.
Software vendors and systems integrators embed Privicore into what they already deliver. They own the customer relationship — we own the control layer.
In 2016, Privicore's founder was running a SaaS workforce-management platform and hit a problem he could not solve with better monitoring — his clients' sensitive personnel data sat in the database in plain, readable form. Every attack he successfully blocked was a temporary win; the odds of an eventual breach kept climbing regardless.
That realization flipped the whole approach. Instead of watching who was trying to get in, he focused on the data itself: store it unreadable from the start, decipherable only by those actually authorized — and it stops mattering how hard someone tries.
24 employees · First patent filed February 2016
Founder & CEO
Co-Founder & CRO
Co-Founder & CPO
Move the sliders. The arithmetic is the argument.
Illustrative. Record cost defaults reflect published industry averages; your figures will differ.
Tell us what you're protecting and we'll show you the control layer running against your own use case.