Sold by: IBM Software
Deployed on AWS
AI governance is becoming a critical bottleneck as enterprises move from pilots to production. Traditional governance approaches cannot keep pace with the rapid growth of AI systems and agents, evolving regulations, and increasing enterprise risk.
IBM watsonx.governance delivers AI-native governance powered by enterprise Governance, Risk and Compliance (GRC). As an enterprise AI assurance layer, it connects AI assets, risks, controls, and regulatory obligations to help organizations govern AI with continuous oversight, regulatory confidence, and business accountability.
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Overview
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watsonx.governance overview
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watsonx.governance and Amazon SageMaker
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Manage and monitor your GenAI and ML models
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Use Case Onboarding
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Enterprise Governance Graph: Build a unified, version-aware inventory of AI assets with shadow AI detection and multi-dimensional relationship tracking across technical, operational, business, risk, and data perspectives.
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Risk Identification and Assessment: Continuously assess and identify AI risk across enterprise risk taxonomies (e.g. Model Risk, Operational Risk, Third Party Risk, etc), IBM Risk Atlas, and AI-specific security assessments aligned with OWASP Top 10 for Agentic AI Applications.
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Compliance Plans and Obligation Mapping: Map regulatory obligations directly to AI use cases and assets, with access to a broad compliance content ecosystem covering the widest range of regulatory sources and frameworks.
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Controls and AI Policies: Translate policies, risks, and regulatory requirements into controls, then surface and monitor those controls through AI control planes such as watsonx Orchestrate Control Plane.
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Business Outcome-Aware Governance: Align AI use cases to strategic objectives, business-defined KPIs, dashboards, and workflows so AI systems are governed against the outcomes they were built to deliver.
For Premium pricing, customized pricing, or to request a demo, please contact us directly at: watsonx_on_AWS@wwpdl.vnet.ibm.com
*Model evaluations are only available in Mumbai region
Highlights
- Ensure trusted AI through expanded risk taxonomies including third-party risk, model risk and operational risk capabilities trusted across the enterprise
- Connect AI assets, use cases, risks, controls, regulations, and business objectives in a single system of record with visibility into Shadow AI across the organization.
- Accelerate compliance with access to one of the industry's largest AI regulatory ecosystems, covering largest range of regulatory and policy sources with automated obligation mapping
Details
Sold by
Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Standard | Includes 1 Instance, model risk governance for 5 AI Use Cases, 25 concurrent users, 12000 evaluations | $38,160.00 |
Dimension | Cost/unit |
|---|---|
Use Case Overage | $15,960.00 |
Vendor refund policy
Please contact your client account team for refund information
Legal
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Sign in to open a new case or review existing cases: https://ibm.biz/watsonx-gov-aws-support
You can view, start, or contribute to watsonx.governance user discussions on the IBM Community. Find the watsonx.governance group here:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Ricardo M.
Enterprise AI Governance with Strong IBM Integration and Compliance Focus
Reviewed on May 21, 2026
Review provided by G2
What do you like best about the product?
IBM watsonx.governance provides strong visibility, governance, and lifecycle management for AI models in enterprise environments. The integration with the broader IBM watsonx ecosystem is a major advantage, especially for organizations already using IBM technologies. Features around model monitoring, risk management, compliance tracking, and explainability help address growing regulatory and operational requirements for AI adoption.
What do you dislike about the product?
Some areas of the platform still feel relatively new compared to more mature enterprise governance products. Initial setup and integration can require specialized knowledge, particularly in hybrid enterprise environments. The user experience and documentation could also be simplified in some workflows to accelerate onboarding for new teams.
What problems is the product solving and how is that benefiting you?
watsonx.governance helps organizations manage AI risk, governance, compliance, and operational oversight across the AI lifecycle. It improves transparency and accountability while helping ensure models remain compliant with internal policies and external regulations. For enterprise clients, this reduces operational risk and provides better confidence when deploying AI into production environments.
Mansi S.
Strong AI Governance Across the Full Lifecycle with Clear Visibility and Control
Reviewed on May 06, 2026
Review provided by G2
What do you like best about the product?
What I like most about IBM watsonx.governance is how it helps manage AI models in a more organized and responsible way. It provides solid visibility into model performance, compliance, and risk, which makes it easier to trust the AI systems being used.
I also appreciate that it supports governance across the full AI lifecycle rather than focusing on only one stage. Features such as monitoring, policy management, and documentation are genuinely useful, especially for teams working with multiple AI models at the same time.
Another strong point is the fairly structured interface. Once you get familiar with it, tracking governance-related tasks becomes much easier and more consistent. It also integrates well with the IBM ecosystem, which is particularly helpful for enterprises that are already using IBM tools.
Overall, it feels like a practical solution for companies that want stronger control, transparency, and accountability throughout their AI workflows.
I also appreciate that it supports governance across the full AI lifecycle rather than focusing on only one stage. Features such as monitoring, policy management, and documentation are genuinely useful, especially for teams working with multiple AI models at the same time.
Another strong point is the fairly structured interface. Once you get familiar with it, tracking governance-related tasks becomes much easier and more consistent. It also integrates well with the IBM ecosystem, which is particularly helpful for enterprises that are already using IBM tools.
Overall, it feels like a practical solution for companies that want stronger control, transparency, and accountability throughout their AI workflows.
What do you dislike about the product?
The platform has many features, so it takes some time to fully understand and use efficiently at first.
What problems is the product solving and how is that benefiting you?
IBM watsonx.governance helps us to manage AI systems in a more reliable and structured way. It makes monitoring models, handling compliance, and tracking governance tasks much easier. This has reduced manual work for the team and improved overall visibility into AI operations.
Victor Manuel S.
Entrusting our most valuable good
Reviewed on May 06, 2026
Review provided by G2
What do you like best about the product?
It helps maintain control over the AI we use, especially in an environment where sensitive data is handled.
What do you dislike about the product?
Maybe as a team we are not getting the most out of it.
What problems is the product solving and how is that benefiting you?
A lot of the information that we obtained through AI consultation or improvement, we did not know where it was going and right with IBM watsonx.governance we achieved it.
Ashish D.
Efficient AI Governance with Multi-Model Monitoring
Reviewed on May 01, 2026
Review provided by G2
What do you like best about the product?
I appreciate that IBM watsonx.governance isn't limited to just IBM's AI; it can monitor AI from other companies like ChatGPT or Amazon. This feature is crucial for us because we use different AIs for various purposes, like Copilot for customer emails and Amazon SageMaker for sales data. It helps a lot by providing a consistent scorecard or rating that we can use to compare the performance of different AI models in the same window. This capability saves us from the nightmare of managing each AI tool separately.
What do you dislike about the product?
Basically the steep learning curve. Improvements can be done in UI, maybe offering a lite version to smaller teams with fewer regulatory needs.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.governance for AI governance, minimizing costs, explaining loan rejections, and simplifying paperwork with factsheets. It monitors various AI tools, streamlining management by offering consistent scorecards across different AIs.
Gargi S.
Automated Governance That Builds Safety Rails Into Development
Reviewed on Apr 30, 2026
Review provided by G2
What do you like best about the product?
The best thing is that it moves governance from a "manual checklist" to an automated, integrated part of the development process. It gives organizations the "license to innovate" because the safety rails are built directly into the tracks.
What do you dislike about the product?
Think of watsonx.governance like a high-end enterprise ERP (like SAP). It’s incredibly powerful and will save your skin during an audit, but you’re going to spend a lot of time and money just getting the foundation poured.
What problems is the product solving and how is that benefiting you?
It removes the fear of AI. Instead of being afraid to deploy a new tool because of potential risks, you have a system that manages those risks for you, allowing your team to move faster and innovate more aggressively.