Built for the

sectors a regulator examines

Regulated industries share one AI governance problem: the obligation to prove what happened, to a supervisor, after the fact. APERION runs on-premises in financial services, healthcare and defense, enforcing policy inline on every model call and generating the evidence from those enforcement records rather than assembling it by hand.

APERION governs what AI agents send to models in the industries where a wrong call has a regulator, a fine, and a named owner attached to it.

Financial services and insurance

Agents are moving into operations a regulator already examines. APERION inspects what they send and proves what they did.

Banks, insurers, brokers, and asset managers are putting agents into operations that regulators examine. SR 26-2 replaced SR 11-7 in April 2026 and puts generative and agentic AI outside model risk scope, leaving those controls to the institution. FINRA supervision and records rules apply. NYDFS Part 500, GLBA, FFIEC, the EU AI Act, DORA, and state insurance regulation sit on top. The failure mode that ends careers: an agent sends customer financial data to a public model, or acts beyond its authority, and there is no identity-bound record of what happened.

What APERION does here:

• Blocks customer financial data from reaching public model endpoints, inline.

• Enforces information barriers between agents working different sides of a deal.

• Holds large or anomalous transactions for verified-human approval.

• Produces single-call exam packages mapped to FINRA, FFIEC, DORA and model inventory.

What APERION does here:

• Blocks customer financial data from reaching public model endpoints, inline.

• Enforces information barriers between agents working different sides of a deal.

• Holds large or anomalous transactions for verified-human approval.

• Produces single-call exam packages mapped to FINRA, FFIEC, DORA and model inventory.

Healthcare and life sciences

PHI and clinical data now sit inside the prompt. APERION keeps them from reaching a public model and records every action.

Providers, payers, and pharma are putting agents next to PHI, clinical data, and regulated R&D. HIPAA governs protected health information. For pharma and life sciences, GxP, 21 CFR Part 11, and validated-systems requirements now extend to generative AI, with FDA and HHS guidance sharpening month over month. The failure mode: an agent exposes PHI to a public model, or a clinical workflow runs without the provenance a validated system requires.

What APERION does here:

• Detects PHI and blocks it from leaving the environment for an external model.

• Enforces information barriers at the model boundary, inline.

• Binds patient-facing AI to a verified identity and logs every action.

• Produces provenance records that hold up against 21 CFR Part 11 and validated-system expectations.

What APERION does here:

• Detects PHI and blocks it from leaving the environment for an external model.

• Enforces information barriers at the model boundary, inline.

• Binds patient-facing AI to a verified identity and logs every action.

• Produces provenance records that hold up against 21 CFR Part 11 and validated-system expectations.

Defense and national security

Five intelligence agencies named the controls. APERION runs them on-premises, inside the boundary.

In May 2026 the Five Eyes cyber agencies (CISA and NSA in the US, with counterparts in the UK, Canada, Australia, and New Zealand) published joint guidance on adopting agentic AI in critical infrastructure and defense. The controls they recommend describe a runtime architecture: each agent as a distinct cryptographic principal, a trusted registry of agents reconciled against the live set, security controls at every point data enters or exits the system, human control points in the workflow, and accountability bound to identity. APERION maps to those controls. The failure mode: confused-deputy and agent-impersonation attacks, a synthetic operative provisioned through compromised onboarding, or an agent acting outside its authority with no accountable record.

What APERION does here:

• Runs on-premises and in air-gapped environments. No data plane leaves the boundary.

• Gives each agent a cryptographic identity and maintains a trusted registry.

• Verifies the human at onboarding to defeat synthetic-operative infiltration.

• Keeps identity-bound audit for accountability and after-action review.

What APERION does here:

• Runs on-premises and in air-gapped environments. No data plane leaves the boundary.

• Gives each agent a cryptographic identity and maintains a trusted registry.

• Verifies the human at onboarding to defeat synthetic-operative infiltration.

• Keeps identity-bound audit for accountability and after-action review.

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