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Governance at the moment the agent acts

Governance at the moment the agent acts

Governance at the moment the agent acts

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.

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.

01

Multinational operations

Multinational operations

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.

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.

02

Microsoft and Azure AI Foundry

Microsoft and Azure AI Foundry

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.

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.

04

AI cost optimization

AI cost optimization

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.

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.

03

Copilot estate visibility

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.

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.

05

M&A and information barriers

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.

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.

06

Shadow AI and key custody

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.

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.

07

Examination readiness

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.

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.

08

Agent governance

MCP and A2A traffic under one policy.

An agent discovers and invokes tools through MCP, and reaches other agents through A2A. Both are call paths. Smartflow sits on them, checks every invocation against the authority the human actually delegated, and returns the ones that exceed it.

09

EU AI Act

The documentation the Act asks for, produced as you run.

High-risk obligations require records of how a system was used, not a statement that it was governed. Every prompt, response and tool call is logged against the human who owns it, mapped to the Act’s articles, and exportable when the auditor asks.

PROOF LAYER

How enforcement works

How enforcement works

How enforcement works

The mechanisms behind every scenario above.

The mechanisms behind every scenario above.

The mechanisms behind every scenario above.

Stop sensitive data before it reaches a public model

Stop sensitive data before it reaches a public model

Stop sensitive data before it reaches a public model

Inline inspection of every prompt.

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.

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

Catch destructive tool calls before they run

Catch destructive tool calls before they run

A control point between the agent and the tool.

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.

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

Require a verified human for out-of-band actions

Require a verified human for out-of-band actions

Step-up to the accountable human when policy fires.

Step-up to the accountable human 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 sends it back to the human whose authority the agent is using, through the proofing you already run, at an assurance that scales with the risk. It proceeds only after that person decides.

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 sends it back to the human whose authority the agent is using, through the proofing you already run, at an assurance that scales with the risk. It proceeds only after that person decides.

Verify the human before the credential exists

Verify the human before the credential exists

Verify the human before the credential exists

Identity proofing at the front door.

Identity proofing at the front door.

Synthetic-employee and deepfake-onboarding fraud start before any IAM system is involved. Your proofing provider verifies the human at onboarding, at NIST IAL2/AAL2, and Smartflow binds that verified identity to every downstream agent action.

Synthetic-employee and deepfake-onboarding fraud start before any IAM system is involved. Your proofing provider verifies the human at onboarding, at NIST IAL2/AAL2, and Smartflow binds that verified identity to every downstream agent action.

Produce audit evidence a regulator will accept

Produce audit evidence a regulator will accept

Produce audit evidence a regulator will accept

Identity-bound, tamper-evident, queryable.

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.

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.

See where the runtime plane fits your architecture.

See where the runtime plane fits your architecture.

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

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

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

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