Governance at the moment the agent acts

APERION sits in the call path between an AI agent and the model it talks to. Every prompt, every response, and every MCP tool call passes through. That position is what makes the following possible.

Multinational operations

One control plane in every jurisdiction you operate.

Data localization and procurement rules keep SaaS security tools out of some of the markets you run in. Smartflow deploys as a compiled binary inside your own infrastructure, in any region, in front of any provider. One policy plane across every geography.

Microsoft and Azure AI Foundry

Govern your Microsoft AI estate under one policy.

Everything in Foundry, Databricks, and Copilot Studio that calls a model does it through an endpoint you control. Point it at Smartflow, issue per-team keys, and you have one policy plane across three stacks that cannot sync policy with each other.

AI cost optimization

The governed path is the metered path.

The same wire that enforces policy also meters spend, routes to the right model, compresses payloads, and caches what repeats. Finance sees cost per team, per app, per person. The savings fund the platform.

Copilot estate visibility

See and check Copilot activity, honestly.

Nobody can sit inside the M365 Copilot call path, and anyone who claims they can is selling something. Smartflow does the honest version: endpoint-level redaction and action blocking where a hook exists, and store-and-forward so Copilot activity lands in the same identity-bound record as everything else.

M&A and information barriers

Barriers enforced on the call path, not in a binder.

Multi-entity organizations carry information barriers that policy documents cannot enforce at machine speed. Smartflow holds those barriers inline, across every operating entity, on every model call.

Shadow AI and key custody

Keys off developer cards and into central custody.

API keys bought on developer purchasing cards never reach central management, and procurement never sees the spend. Smartflow moves keys into central, encrypted custody, issues one key on the wire, and rotates it on a schedule.

Examination readiness

Answer the exam from a query, not a reconstruction.

Policy documents are not evidence. Smartflow keeps an identity-bound record of every model call: who the human was, what the agent did, which policy fired, what data moved. Exam questions get answered from a query.

PROOF LAYER

How enforcement works

The mechanisms behind every scenario above.

Stop sensitive data before it reaches a public model

Inline inspection of every prompt.

An agent pulls a regulated record into a prompt and is about to send it to a public model endpoint. APERION reads the prompt inline, detects the data, and redacts or blocks before the call leaves your environment. The agent keeps working. The data stays governed.

Catch destructive tool calls before they run

A control point between the agent and the tool.

Agents wired to internal systems through MCP can delete records, move money, or change configuration. APERION Shield sits between the agent and the tool, scores every call, and stops the destructive action before execution.

Require a verified human for out-of-band actions

Biometric step-up when policy fires.

Some actions should not run on an agent’s say-so. A large transfer. A privileged access grant. A payroll change that does not match the employee. When runtime policy detects one, APERION holds the action and triggers a biometric step-up. It proceeds only after a verified human approves.

Verify the human before the credential exists

Identity proofing at the front door.

Synthetic-employee and deepfake-onboarding fraud start before any IAM system is involved. APERION Identity Proofing (NIST IAL2/AAL2) verifies the human at onboarding, then binds that verified identity to every downstream agent action.

Produce audit evidence a regulator will accept

Identity-bound, tamper-evident, queryable.

Policy documents are not evidence. APERION keeps an identity-bound record of every model call: who the human was, what the agent did, which policy fired, what data moved. Exam questions get answered from a query, not a reconstruction project.

See where the runtime plane fits your architecture.

Craig Alberino, CEO & Co-Founder - APERION Smartflow launch, April 2026

The runtime governance layer for enterprise AI agents in regulated industries.