Responsible AI Constitution

Govern AI Before It Runs

Move from policy paralysis to controlled delivery. Responsible AI is the constitution layer for Nivara OS: Policy-as-Code, pre-event blocking, and audit trails for compliance and faster engineering.

Review Governance Controls

Control stack section

AI Governance Control Set

Controls enforce Responsible AI policies pre-event.

Your audit trail shows what you prevented, not what you survived. Governance is engineering, not consulting.

Codify obligations

Ensure every AI use case maps to applicable obligations, with defined owners and approval gates.

Encode EU AI Act Compliance, sector rules, and internal controls as Policy-as-Code with versioning, approvals, and clear applicability.

Solution

Responsible AI Engineered Governance

Define rules once, enforce everywhere. RAIN converts EU AI Act compliance and AI Governance requirements into Policy-as-Code with kernel enforcement, giving CISOs evidence and CTOs a clear path to deployment.

View enforcement layers

Benefits

Kernel-level Governance Benefits

Nina identifies obligations; Responsible AI enforces them inside the OS boundary through policies that block, allow, or route actions.

Kernel Interception

Intercept model calls, data access, and tool use at the kernel. Apply guards consistently across user-space services and third-party components.

Policy-as-Code Engine

Write policies as versioned rules with tests and approvals. Promote changes through environments, with traceable diffs and controlled rollbacks.

Pre-event Blocking

Block disallowed prompts, data egress, or actions before execution. Prevent violations; do not only report. Return deterministic outcomes: deny, redact, or escalate.

Framework Coverage

Align controls to EU AI Act, ISO/IEC 42001, NIST AI RMF, and internal standards. Produce mappings for auditors without vendor black-box assumptions.

Enforcement layers

Responsible AI Layers

Each layer applies a specific control function: guard, law, shield, record, judge, and standards. Together, they convert policy intent into deterministic enforcement.

01

Input Guard

Validate prompts, data sources, and tool requests against allowlists and sensitivity tags.

02

Law Engine

Compile Policy-as-Code and enforce decisions at kernel interception points, with scopes and ownership.

03

Output Shield

Filter outputs for data leakage, unsafe actions, and restricted content; apply redaction or truncation.

04

Audit Record

Write tamper-evident events for every decision, policy version, and override; support export for audits.

05

Continuous Judge

Evaluate drift, risk signals, and control performance; trigger escalation, throttling, or rollback.

06

Standards Map

Maintain control mappings to EU AI Act, NIST AI RMF, ISO/IEC 42001, and internal standards.

Operationalise AI
Governance