Trust & Audit

TRANSPARENCY
IS THE PRODUCT

Every cognitive engine on GXPort AI ships with full decision traces, lineage provenance, and quarterly fairness evaluations. We make auditability the default — not the upgrade.

1.4M+
Decisions traced / sec
99.98%
Endpoint uptime
0.07
Avg. bias index
14
Regulated markets
Pillars

How we earn trust

Glass-box by design

Every conclusion ships with a full decision trace. No opaque inference — ever.

Audit-ready

Immutable logs and reproducible runs meet the strictest regulatory regimes.

Fairness-audited

Quarterly bias evaluations across protected attributes, published openly.

Versioned heritage

Trace any model back to its exact training lineage and weight provenance.

Methodology

Our audit methodology

Audit pipeline

  1. 01Lineage verification — confirm training set, weight snapshot, and evaluation regimen.
  2. 02Bias evaluation across protected attributes (gender, age, region, ethnicity).
  3. 03Latency and throughput profiling under production-shaped load.
  4. 04Decision-trace integrity check — every output must map to weighted factors.
  5. 05Quarterly re-audit with results published to all licensees.

Fairness evaluation

  1. 01Disparate-impact ratio must exceed 0.80 across all protected groups.
  2. 02Demographic parity and equalized odds computed per engine release.
  3. 03Adversarial fairness probes run before each registry listing.
  4. 04Results summarized in a public fairness card per model.

Security & isolation

  1. 01Tenant isolation — no cross-customer data leakage in inference paths.
  2. 02Encryption in transit (TLS 1.3) and at rest (AES-256).
  3. 03SOC 2 Type II controls inherited across the deployment surface.
  4. 04No training on customer prompts — zero data retention by default.
Compliance

Certifications & frameworks

SOC 2Type II

Annual third-party attestation covering security, availability, and confidentiality.

GDPREU

Data subject rights, lawful processing, and DPIA support for EU licensees.

HIPAAUS

BAA available for healthcare engines handling PHI in regulated workflows.

ISO 27001Certified

Information security management system certified by accredited registrar.

EU AI ActRisk-tiered

Transparency obligations and technical documentation for high-risk deployments.

ISO 42001AIMS

AI management system standard for responsible AI lifecycle governance.

Live ledger

Recent audit events

A public, append-only ledger of the latest evaluations and attestations across the registry.

Date
Engine
Action
Result
2026-06-18
Credit-Risk Sentinel
Quarterly bias re-audit
Passed · DI 0.91
2026-06-10
Logistics Path Optimizer
Weight snapshot published
v4.2.0
2026-05-28
Threat Vector Detector
Latency profile
42 ms p99
2026-05-14
Retail Demand Oracle
Fairness probe
Passed · EP 0.04
2026-04-30
Climate Risk Model
SOC 2 re-attestation
Type II

Inspect fairness cards in the registry

Every engine listing includes its full audit trail, bias metrics, and lineage snapshot.

Browse the Logic Registry