NiaShield™ is for regulated business — organizations that answer to someone for what happens to their data. Government contractors under GSAR and the FAR. Hospitals and health systems under HIPAA and HITECH. Banks, insurers, and funds under their examiners. Law firms holding privileged material. Any company operating in the European Union under the GDPR and, from August 2, 2026, the EU AI Act.
For these organizations the question about AI is not whether it is useful. It is whether you can prove what happened to the information after it left your hands. Every regulation on this page reduces to the same demand: know where the data went, keep it from being retained or trained on, and show — with evidence, not assurance — that it was destroyed when the work was done.
That is what this architecture was built for. The control plane runs inside your own Microsoft Azure tenant. Sessions run in volatile memory and retain nothing. Every session closes with a signed Certificate of Incineration™ you can verify yourself, independently of Heaviside AI. It is an architecture a regulated business can put in front of its auditors, its contracting officers, and its counsel — because the guarantees are structural, not promised.
Every regulated industry has been told to be careful with AI by a regulator who did not say how. Below, each industry’s actual exposure — and the specific way zero persistence retires it. Not a features list. Your problem, named, and ended.
Your pain: you live under flow-down. The moment CUI touches an AI vendor’s logs, you have a safeguarding violation you did not commit, cannot see, and cannot cure — and your contracting officer holds you answerable for it.
What ends it: the AI never leaves your accredited boundary. In-tenant execution means covered information has no place outside your subscription to go; volatile-only processing means nothing outlives the session; the Certificate of Incineration™ gives your contracting officer disposition evidence on demand. The clause-by-clause mapping is directly below.
Your pain: PHI in a prompt turns an AI vendor into one more business associate holding your patients’ records — and every record they retain is breach-notification exposure, counted per patient, carried for as long as the vendor keeps it. A BAA is a promise. Your breach report is a fact.
What ends it: PHI is processed inside your own tenant, in volatile memory, and is gone — provably — when the session closes. There is no vendor-held copy to breach, because there is no vendor-held copy. The disclosure you never have to make is the record that never existed.
Your pain: your examiner’s first AI question is where did the customer data go? — and every AI tool your people touch is a new third-party-risk finding, a new uncontrolled copy outside your books-and-records perimeter, a new paragraph in the exam report.
What ends it: your systems of record keep what regulation requires you to keep — nothing changes there. What changes is the shadow: the AI layer creates no new copies anywhere, so there is no uncontrolled record for an examiner to find and no vendor data store to assess. Per-session receipts go straight into the exam file as evidence.
Your pain: handing privileged material to a third-party AI invites the waiver argument — opposing counsel will claim the privilege died the moment a vendor could read and retain it — and the vendor’s logs become a discovery target you do not control.
What ends it: no third party ever holds the material. It is processed in your tenant, seen by no vendor, retained by no one — there is no custodian to subpoena and no log to discover. And when the matter demands proof of disposition, the receipt is signed, dated, and verifiable by the court itself.
Your pain: claims files are dense with nonpublic personal and health information, your data-security obligations extend to every third-party service provider you use, and your state regulator expects you to certify oversight of all of them — including the AI tools your adjusters quietly rely on.
What ends it: a service provider that retains nothing is a service provider with nothing to oversee. Nonpublic information stays in your tenant, the session dies on schedule, and your third-party oversight file gains a vendor whose entire data-handling story fits on one verifiable receipt.
Your pain: the GDPR’s storage-limitation and data-minimization principles collide head-on with AI tools built to hoard context — and the EU AI Act adds a second regime on top, with obligations arriving August 2, 2026, whether your AI stack is ready or not.
What ends it: data minimization is satisfied absolutely by having nothing stored. Dedicated EU deployments run inside your own Azure EU regions, nothing persists to be transferred or retained, and the Regulation (EU) 2024/1689 crosswalk maps every relevant obligation to the property that discharges it.
Six industries, one common sentence in every regulation: prove what happened to the data. Everyone else answers with policy documents. This architecture answers with a receipt.
GSA’s Basic Safeguarding of Artificial Intelligence Systems clause turns federal AI doctrine into contract language. Four of its core obligations are discharged directly by this architecture — including the prohibition on training with Government data, which here is not a policy but an impossibility, because nothing persists to train on.
Requires: covered information processed by the AI system stays within the agency’s authorized boundary.
Answered by in-tenant execution. The control plane runs inside the customer’s own Azure subscription. There is no place outside your tenant for covered information to go.
Requires: the AI system must not retain covered information beyond what is authorized.
Answered by volatile-only processing. Sessions run exclusively in RAM; SDIP-6™ overwrites session buffers in six passes before memory is reclaimed. Nothing is written to disk, cache, or log during handling.
Requires: proper disposition of covered information must be demonstrable — evidence, not assurance.
Answered by the Certificate of Incineration™. A SHA-256 signed receipt on every session, verifiable independently of Heaviside AI.
Requires: safeguarding obligations flow down to subcontractors handling covered information.
Answered by the zero-trust operator posture. Heaviside AI holds no customer keys, data, or session content. With no operator data path beneath the customer, there is no subcontractor exposure to flow down.
The same three questions run through both regimes: custody, retention, proof. In the United States, four Presidential documents define how the Executive Branch expects AI to be bought, run, and proven, and ten of their directives are discharged directly by this architecture. In the European Union, AI Act enforcement begins August 2, 2026; dedicated EU deployments run inside the customer’s own Azure EU regions, aligned with the GDPR’s data-minimization principle — satisfied by having nothing stored.
The document-by-document treatment, with the primary sources on file, lives on the AI Regulation page →
The documents your security, legal, and contracting teams need — no form required.
Clause-by-clause mapping of the federal AI safeguarding standard to the NiaShield control plane.
The clause text and the architectural answer, side by side, line item by line item.
The NSPM and three Executive Orders mapped to the properties that discharge them.
Regulation (EU) 2024/1689 obligations mapped to the zero-persistence architecture.
Primary sources — the statutes, orders, and clauses themselves — are on file in full on the AI Regulation page.
We hand you the architecture and the evidence — independently verifiable — and the legal conclusions belong to your counsel.