⚙️Governance Kernel

Runtime Flow

How IOA governs AI in real time — from intent to evidence.

IOA operates in-loop: policies are evaluated before actions execute, decisions are captured as signed evidence, and an immutable audit chain preserves accountability.

1. Policy Definition

Define governance rules with IOA's Seven System Laws and organizational policies.

Seven System Laws

Transparency, consent, fairness, security, auditability, accountability, sustainability guide policy design.

Learn the Laws

Policy Library

Composable constraints for data access, provider selection, retention, and jurisdictional rules.

2. Runtime Enforcement

Every request passes through policy gates prior to model execution (pre-facto).

Pre-Facto Controls

Validate purpose limitation, data scope, and provider constraints before invocation. Unsafe flows are blocked.

Pre-Facto Governance

Redaction & Masking

Field-level masking for PII/PHI and sensitive attributes at ingress/egress.

3. Evidence Generation

Cryptographically signed bundles document inputs, policy results, and outputs.

Attestable Records

Bundles include request context, policy evaluation trace, response, and signatures for tamper evidence.

See Methodology

Storage & Retention

Evidence stored in immutable audit chain with lifecycle policies per framework.

4. Audit Trail

Auditors can verify any decision with end-to-end provenance.

Verifier Workflow

Auditors verify signatures and reconcile policy outcomes with framework requirements.

Conformance

Aligns with GDPR, HIPAA, SOC 2, ISO 27001, EU AI Act, NIST AI RMF.

Explore Frameworks

Pre-Facto & Post-Facto Governance

Governance before and after execution — prevention and review.

Pre-Facto (Prevent)

Policy gates, purpose checks, provider selection, redaction — stop non-compliant actions before they occur.

Post-Facto (Prove)

Signed evidence, audit chain queries, and corrective actions — prove behavior and improve controls.

Discuss Runtime Governance See Assurance