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Regulayer checks current human authority before consequential AI acts, then leaves an independently verifiable record.
The brake and black box for agentic AI.
Generative AI can drift from your instructions. Agentic AI can act beyond them. Regulayer keeps human authority in control before consequential answers or actions are released. It can correct, hold or stop what is not authorized, then leave independently verifiable proof of what happened.
Your authority does not have to live in somebody else’s cloud.
It runs outside the system it governs and independently of the model provider, so the governed system cannot switch it off. Deploy it on your own infrastructure: local, private and on-premises configurations are supported where the deployment allows, and enforcement and evidence signing require no network egress.
Four properties hold across the architecture.
The AI does not decide whether its own consequential action should be allowed.
Evidence is created as the decision is governed, not reconstructed afterward from logs or explanations.
The record can establish what happened without containing the underlying work itself.
A recipient can verify the record independently. Verification does not depend on an active Regulayer licence or a call back to Regulayer.
The engine is licensed around the control problem that has to be solved.
The AI is drifting from your instructions.
It may still sound convincing. It may even be mostly correct. But it is no longer staying inside what you asked it to do. Drift Control keeps consequential outputs and actions tied to current human authority before release.
What stops an AI agent before it executes an action that is no longer authorized?
For an autonomous system, detecting the mistake afterward can be too late. FailStop applies an external stop/control decision before a consequential action executes, so it can be allowed, corrected, held or stopped before consequence.
Can we prove every consequential action an autonomous agent took, and the authority under which it acted?
The Witness preserves which human instruction, approval or limit governed at the relevant time, and the human decision where one occurred.
You need to prove what a person did, not guess whether AI was involved.
HumanMark records observable human participation without relying on AI detection. It attests to the record it creates.
The required system state needs to be verifiable when it matters.
Turn expected system state into signed, independently verifiable evidence, including whether the required record appeared when expected.
Can our AI product enter markets that prohibit sending customer data to an external model service?
SDKontrol unlocks markets that cloud-dependent AI cannot enter. Put advanced AI inside the customer-controlled environment, so regulated, on-premises, edge and connectivity-constrained customers can be served without requiring sensitive data to move to an external model service.
The architecture is the same. The consequential action changes.
Agents can call tools, communicate and act. Human authority governs the consequential step before it proceeds.
Current human limits can govern a machine action before physical execution.
Authority can remain attached to consequential decisions while the system is moving and connectivity is limited.
Current approvals, limits and operating authority can govern changes to machine state.
The human instruction governs what the system is actually permitted to send or release.
Human authorship, review and approval can become part of the evidence surrounding consequential work.
Current protocols, approvals and limits can govern a consequential experimental or robotic action. Life sciences, drug discovery and GxP
Current limits and approvals can govern consequential transactions or actions before release.
Current policy terms, authority limits and approvals can govern a consequential claims or underwriting decision before it is issued. For insurers deploying AI, and insurers underwriting it
These are applications of the same engine, not nine separate products.
Regulayer is designed for deployment on infrastructure controlled by the customer.
The questions your security, legal and risk teams will ask.
On infrastructure controlled by the customer.
The underlying work does not need to leave for enforcement or evidence signing. If witnessed time is used, a cryptographic digest can be sent to the timestamp authority.
They are generated within the deployment rather than escrowed with Regulayer.
Signed evidence with no external signing software, cloud service or cryptographic dependency to install. Licence texts ship with the software.
Records already issued do not lose their validity merely because a licence ends, and verification of existing records is not licence-gated.
Depending on the capability used: which authority applied, what the system attempted, what control decision was made, what resulted, and whether the record still verifies. It does not decide whether something is legally compliant, certified or admissible. Those determinations belong to the relevant court, regulator or other authority. What a Regulayer record proves, and what it does not prove.
Tell us what the system does, what it is allowed to do, which human authority must remain in control, and what happens if the wrong action gets through.
We return a written scope defining the control boundary, evidence and deployment.