For chief data / AI officers

Govern, observe and control every model and AI system in one place.

A unified register for statistical and AI models under SR 11-7, extended with bias, explainability and ethics for the EU AI Act and NIST AI RMF — plus policy-as-code and observability over every AI action.

GeneSecureLive

Enterprise risk command center

Risk posture

A-

+1 grade

Open exposures

312

-18%

Controls passing

96.4%

+2.1pts

Mean time to close

4.2d

-1.6d

Exposure burn-down · last 8 weeks

Activity

  • Cortex Auto-triaged 41 alerts, escalated 3 to owners

    now
  • Controls SOC 2 evidence refreshed for 12 controls

    2m
  • Vendor risk New 4th-party detected in supply chain

    9m
  • Policy Access review attested by 6 owners

    21m

GeneSecure gives data and AI leaders a unified governance layer: a register for both statistical models and AI systems under SR 11-7, extended with bias and fairness testing, explainability and ethics review for the EU AI Act, NIST AI RMF and ISO 42001. Cortex enforces policy-as-code on every AI call — cost caps, model allowlists, content filters, prompt-injection checks — with full observability over spend, latency and decisions.

Who it's for

For chief data / AI officers.

  • SOC 2 Type II / ISO 27001-aligned controls
  • One governed core across every module
  • Cortex AI proposes; a human always approves
The problem

Why this breaks today

AI is being adopted faster than it is governed: models live in scattered inventories, AI systems lack bias and explainability evidence, and there is no enforced policy or cost control on what AI may do — leaving organisations exposed under the EU AI Act and to runaway spend.

GeneSecure replaces that fragmentation with one governed core — a shared data fabric, the Cortex AI brain and a tamper-evident evidence ledger — so AI Governance work runs as a single, continuous, auditable operation.

The outcomes

What you get

Concrete results a buyer can expect — each tied to a capability on the governed platform.

One register for statistical models and AI systems alike

SR 11-7 validation, backtesting and drift monitoring by design

EU AI Act risk classification, bias testing and explainability

Policy-as-code enforcing cost caps, allowlists and content filters

Prompt-injection detection and content filtering on every call

Observability over AI spend, latency, limits and decisions

FAQ

Common questions, answered

What teams evaluating AI Governance on GeneSecure ask most.

Yes — that is the point. Statistical models and AI/ML systems share one register, with SR 11-7 validation for both and additional EU AI Act / NIST AI RMF controls (bias, explainability, ethics) for AI.

Governance rules — cost caps, model allowlists, content filters, rate limits and prompt-injection detection — are defined as code and enforced on every AI call, producing an allow, warn or block verdict that is logged.

EU AI Act risk classification, verification that bias and fairness testing is evidenced against each AI asset, human-oversight controls, and an ethics-review and whistleblower workflow.

Every message carries a cost, cost caps are enforced by policy, and the observability layer tracks spend, latency and limits across all AI activity in the platform.

GeneSecure's own Cortex AI is registered and governed in the same module under the same policies, so the platform you use to govern models also governs its own AI.

See AI Governance run on one governed brain

Book a working session and we'll map your role, frameworks and stack onto GeneSecure — and show Cortex reasoning over them live.

AI Governance — Govern every model — statistical or AI — from one register. | GeneSecure