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THE THESIS

The Trust Fabric is the architecture.

The Trust Fabric is the architecture.

The Trust Fabric is the architecture.

Regulated enterprises must own and control their AI infrastructure end-to-end. On their hardware. Under their policies. With their data never leaving their network perimeter.

Regulated enterprises must own and control their AI infrastructure end-to-end. On their hardware. Under their policies. With their data never leaving their network perimeter.

Four layers. Two distinct planes.

TRUST FABRIC · 4 LAYERS WORKFLOW PLANE · PARALLEL INFRASTRUCTURE LAYER 4 APERION Audit & Evidence Can we prove what happened to a regulator? LAYER 3 APERION Runtime Governance What did the agent actually send to the model? LAYER 2 Okta · Entra · AD · Veza Access Governance What is the human allowed to do? LAYER 1 APERION · NIST IAL2/AAL2 Identity Proofing Who is the actual human, really? WORKFLOW AGENT GOVERNANCE Which agent runs, on whose authority, doing what work? ServiceNow AICT Action Fabric · May 5 GA Microsoft Agent 365 "AI control plane" · May 1 GA Sits above the call between agent and model. Spawns agents, scopes authority, audits workflow actions. The Trust Fabric composes with both. APERION does not compete on workflow orchestration. APERION 2026

THREE REALITIES

Regulatory Reality

Regulatory Reality

FINRA, SEC, OCC, HIPAA, ITAR, CMMC, and the EU AI Act all require demonstrable control over AI systems processing sensitive data. Cloud-based gateways can promise this control. They cannot architecturally guarantee it.

FINRA, SEC, OCC, HIPAA, ITAR, CMMC, and the EU AI Act all require demonstrable control over AI systems processing sensitive data. Cloud-based gateways can promise this control. They cannot architecturally guarantee it.

FINRA

SEC

OCC

HIPAA

ITAR

CMMC

EU AI Act

NIST AI RMF

Security Reality

Security Reality

The March 2026 LiteLLM supply chain attack proved that cloud-distributed AI infrastructure inherits every vulnerability in its supply chain. Every trust assumption in the PyPI ecosystem was exploited in a single coordinated campaign.

The March 2026 LiteLLM supply chain attack proved that cloud-distributed AI infrastructure inherits every vulnerability in its supply chain. Every trust assumption in the PyPI ecosystem was exploited in a single coordinated campaign.

95M downloads compromised

36% of cloud environments

17+ prior CVEs

TeamPCP + LAPSUS$

Competitive Reality

Competitive Reality

Enterprises that control their AI infrastructure move faster, deploy with confidence, and present a defensible compliance posture to regulators, auditors, and boards. Enterprises that outsource AI governance move at the vendor's pace.

Enterprises that control their AI infrastructure move faster, deploy with confidence, and present a defensible compliance posture to regulators, auditors, and boards. Enterprises that outsource AI governance move at the vendor's pace.

22 patent positions

p95 published benchmarks

99.999% uptime

Fortune 500 evaluations

DEPLOYMENT MODEL COMPARISON

Cloud gateway vs. on-premises appliance.

Cloud gateway vs. on-premises appliance.

DIMENSION

CLOUD GATEWAYS

SMARTFLOW

Deployment

Cloud-hosted or pip-installed library

On-premises Kubernetes appliance

Data Residency

Data transits third-party infrastructure

Data never leaves customer network

Supply Chain

PyPI dependencies, public CI/CD

Signed appliance image, no PyPI in production

Identity

API key authentication

Enterprise IdP (Entra ID, LDAP, SAML, OIDC)

Audit Trail

Aggregated logs, no user attribution

Per-user, per-session, compliance-ready

Policy

Post-hoc or optional

Inline, pre-transmission, no-code engine

Caching

Exact-match only

Four-phase BERT semantic, 55–75% hit rate

Performance

20–80ms (Python)

Sub-5ms (Rust)

March 2026

LiteLLM: quarantined on PyPI

SmartFlow: 99.999% uptime, unaffected

"Enterprise buyers deserve to see real numbers on real hardware, not marketing claims."

"Enterprise buyers deserve to see real numbers on real hardware, not marketing claims."

Craig Alberino, CEO & Co-Founder — quoted in VentureBeat

Runtime governance for enterprise AI.

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© 2026 Aperion, Inc.

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LLMS.TXT

Runtime governance for enterprise AI.

PRODUCTS

Smartflow

SDK

Shield

RESOURCES

Blog

© 2026 Aperion, Inc.

Privacy Policy

Terms of Service

LLMS.TXT

Runtime governance for enterprise AI.

PRODUCTS

Smartflow

SDK

Shield

RESOURCES

Blog

© 2026 Aperion, Inc.

Privacy Policy

Terms of Service

LLMS.TXT

Runtime governance for enterprise AI.

PRODUCTS

Smartflow

SDK

Shield

RESOURCES

Blog

© 2026 Aperion, Inc.

Privacy Policy

Terms of Service

LLMS.TXT