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IBM watsonx.governance

by IBM@ibmArmonk, United StatesNo ratings yet

Enterprise platform for governing AI use cases, risks, policies and compliance.

Tool type
AI governance platform
Made for
Enterprise risk, compliance, audit teams
Runs on
IBM Cloud, AWS, on-premises software
Software priced per virtual processor core
Last checked
29 Oct 2026

What it does

IBM watsonx.governance takes in information about an organization's AI systems, models and use cases, along with policies, regulations and risk data. It produces a map of the AI ecosystem, model inventory and documentation, risk and compliance assessments, evaluation and monitoring results, and traceable records for reporting and audit.

Teams use it to onboard AI use cases, detect unmanaged or unapproved AI (shadow AI), map obligations to regulations and frameworks, enforce policies, and monitor systems continuously. Its governance graph shows relationships between AI systems, risks, controls and policies, and embedded AI assistants help capture governance information. It is positioned for governing AI from any source, with a large library of regulatory content.

It suits enterprise risk, compliance, audit and AI governance teams that need oversight across many AI projects. A 14-day free trial runs in a shared environment; paid options include IBM Cloud, AWS Marketplace and on-premises software priced by virtual processor cores. Prices shown are indicative and vary by country. Per-unit meter details for lower tiers are not spelled out, so check with IBM before budgeting.

What it can do

  • Governance graph visualizing relationships between AI systems, risks, controls and policies
  • Shadow AI detection for unmanaged or unapproved AI usage
  • AI use case onboarding with embedded AI assistants
  • Policy enforcement and regulatory compliance mapping
  • Model inventory, evaluation and continuous monitoring
  • Risk assessment and end-to-end traceability for reporting

Example workflows

Onboard and assess a new AI use case
Input: a proposed AI use case and its applicable regulations. Steps: register the use case, run risk and compliance applicability assessments, link controls and policies. Output: a documented, risk-assessed entry in the governance inventory.
Monitor deployed models
Input: models already in the inventory. Steps: configure evaluation and monitoring, review alerts on compliance or operational issues. Output: monitoring results and traceable records for reporting.

Before you choose

  • Pricing spans several plans with different modules, instances and user limits; confirm which fit before buying
  • SaaS and software features may differ, per IBM's footnote
  • Listed prices are indicative and vary by country, excluding taxes

Listed under

Get started

Free account sign-up; demo also available

  1. Start the free 14-day trial from the IBM sign-up page
  2. Register AI use cases and models in the shared trial environment
  3. Choose a paid route (IBM Cloud, AWS or software) after evaluating
Start 14-day free trial

Plans and prices

Prices in USD

Indicative prices; vary by country, exclude taxes. Trial is 14 days in a shared environment. Software pricing is per virtual processor core (rate not given). Model Management unit not stated.

Model Management (IBM Cloud)Usage-basedDisplayed figure: USD 0.64. Confirm the applicable billing term, plan and offer before purchase. Starting price; metering unit not stated
  • 30 day trial
  • Pay as you go
Risk & Compliance - Basic (IBM Cloud)—Displayed figure: USD 3500. Confirm the applicable billing term, plan and offer before purchase. Starting at, monthly pricing
  • 1 basic instance, 1 module
  • 1 concurrent user
Risk & Compliance - Advanced—Displayed figure: USD 6450. Confirm the applicable billing term, plan and offer before purchase. Starting at, monthly pricing
  • 1 advanced instance
  • Enterprise software

14-day free trial.

Source: ibm.com/products/watsonx-governance/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

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