Skip to content
Book a Demo

Operational AI Governance

Turn AI standards into structured, actionable governance.

Manage AI systems, assign ownership, assess AI-specific risks, and build readiness across emerging AI standards and regulations.

Request a demo
AI governance workspace
Context connected

Systems, ownership, risk, and frameworks in one view.

  1. AI system

    Customer support assistant

    Active

    Purpose

    Customer support assistance

  2. Accountable owner

    Owner assigned

    Responsibility visible

  3. Risk assessment

    Likelihood
    Possible
    Impact
    Moderate

  4. Framework context

    • ISO/IEC 42001
    • NIST AI RMF
    • EU AI Act

Where AI Governance Breaks Down

Turn AI governance challenges into structured action.

One clearer view of AI systems, risks, evidence, progress, and readiness.

  1. 01 · Map

    Untracked AI systems

    Centralized AI system inventory with owner, description, and status

    Inventory

    AI systems are difficult to inventory and track

    Maintain a centralized AI system inventory with owner, description, and status.

    AI governance flow

    Map

    01 / 04

    AI system inventory

    Customer support assistant

    Active

    Description

    Customer support assistance

    Owner

    Owner assigned

    Status

    Current record

    01System recorded
    02Description visible
    03Status tracked

  2. 02 · Assign & assess

    AI-specific risks overlooked

    Dedicated assessments for shadow AI, third-party AI, algorithmic discrimination, and more

    Risk assessment

    AI-specific risks are missed by traditional cyber assessments

    Assess risks such as shadow AI, third-party AI, and algorithmic discrimination through dedicated AI risk workflows.

    Ownership

    Ownership and accountability are unclear

    Assign responsible owners to AI systems and individual risks, with comments and review context.

    AI governance flow

    Assign & assess

    02 / 04

    Accountable owner

    Owner assigned

    Responsibility stays connected to the AI system.

    AI risk assessment

    Likelihood

    Possible

    Impact

    Moderate

    Customer support assistant Connected context

  3. 03 · Connect

    Repeated work across new AI regulations

    Reusable implementation, policies, evidence, and risk context

    Control reuse

    New AI regulations create repeated compliance work

    Reuse relevant implementation, policies, evidence, and risk context across overlapping AI standards and regulations.

    AI governance flow

    Connect

    03 / 04
    Implementation
    Policy
    Evidence

    Shared control context

    Approved work stays connected.

    ISO/IEC 42001NIST AI RMFEU AI Act

    Reuse relevant context where governance requirements overlap.

  4. 04 · Review

    Uncertain evidence readiness

    Secura AI-assisted review against AI governance controls

    Secura review

    Evidence exists, but readiness is uncertain

    Secura AI reviews documents against AI governance controls to identify gaps and next actions.

    Readiness

    Progress and audit ownership remain unclear

    Framework dashboards, internal team chats, and auditor collaboration help keep teams & auditors aligned.

    AI governance flow

    Review

    04 / 04

    Secura review

    AI governance control

    Needs attention

    Finding

    Supporting evidence does not demonstrate the required AI-risk review.

    Next action

    Add the latest approved AI-risk assessment and ownership record.

    Human review required
    Accountable decision

Govern Every AI System

From AI inventory to risk assessment—in one workflow.

Add each AI system, define its owner and status, then assess the risks based on NIST AI RMF, assign risk owners, and capture comments and review context.

AI operations workspace

Inventory and risk review in one connected flow.

AI system record

Customer support assistant

Active
Description
Customer support assistance
Owner
Owner assigned
Review context
Customer-facing AI system
Status
Active
Next workspace: assess likelihood, impact, and responsible owner.Context carried forward

Secura AI for AI Governance

Validate AI controls before they slow compliance.

Secura reviews implementation details, policies, procedures, and evidence against AI governance controls—then highlights gaps and recommends the next actions.

  1. 01Review
  2. 02Identify Gaps
  3. 03Prioritize
  4. 04Act
Secura control review

Review inputs

  • Implementation
  • Policy
  • Procedure
  • Evidence
Status
Needs attention
Secura finding
Supporting evidence does not demonstrate the required AI-risk review.
Recommended action
Add the latest approved AI-risk assessment and ownership record.
Decision
Human review required

AI Governance Framework Coverage

Built for Emerging AI Standards

Use pre-mapped controls and reusable implementation, policies, evidence, and risk context as AI standards and regulations evolve.

Framework lens

ISO/IEC 42001

AI management-system structure and continual improvement.

AI system inventoryOwnershipRisk assessmentControlsEvidence
Explore frameworks
AI Governance, Connected

Know your AI. Manage the risk. Prove readiness.

Create visibility across AI systems, ownership, risk, controls, and evidence—then move from governance requirements to clearer readiness.

Request a demo
  • AI System Inventory
  • AI Risk Assessments
  • Secura AI
  • Pre-Mapped Frameworks