Sold by: IBM SoftwareÂ
Deployed on AWS
IBM watsonx.governance as a Service helps you direct, manage, and monitor your organization's AI activities. It provides the tools organizations need to scale AI responsibly and efficiently. Simplify compliance processes, mitigate risks and streamline operations to build trust through transparency, save time with automation and enhance collaboration across teams.
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
Gen AI is driving many new use cases but also exposes businesses to new risks and complexities. As organizations leverage AI agents to drive growth, business leaders are under growing pressure to demonstrate ROI from their AI initiatives to remain competitive. To safeguard your business, a holistic governance approach is needed that effectively directs, manages, and monitors your AI activities
IBM watsonx.governance accelerates responsible, transparent, and explainable AI workflows by governing any AI--including models, applications, or agents--on one integrated platform. It provides governance throughout the AI lifecycle for models, apps or agents deployed anywhere. watsonx.governance provides organizations with the toolkit they need to govern both Gen AI and ML models, applications or agents in the following key areas:
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Lifecycle governance - automate and scale model governance, provide stakeholder visibility with customizable dashboards and reports while capturing model metadata with factsheets for effortless report generation.
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Compliance - manage compliance with the growing and changing AI regulations and industry standards.
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Risk management - monitor for fairness, bias, drift and key LLM metrics, proactively detect and mitigate risks based on pre-set thresholds.
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A dashboard provides insight into relevant information related to models, including a breakdown of use cases and models by status, change requests in process, challenges, issues and tasks assigned to the various stakeholders.
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Identify and manage AI risks early on with risk assessments at use case and model-level
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Monitor the effectiveness of models with metrics. Metric values are captured for each metric and a breach status is automatically calculated to indicate if the metric is red, yellow, or green.
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Automated workflow enables the review and approval of AI assets across stakeholders.
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Provide ability to record and assess AI Use case evidence for audit and compliance
For Premium pricing, customized pricing, or to request a demo, please contact us directly at: watsonx_on_AWS@wwpdl.vnet.ibm.comÂ
*Model evaluations are only available in Mumbai region
Highlights
- Evaluate and monitor multiple AI assets simultaneously across the AI lifecycle accelerating time to production. Save time through factsheets that automatically collect and document model metadata across the AI lifecycle while ensuring transparency.
- Manage AI risk early on with preset thresholds in AI systems to monitor for bias, drift and breaches in key LLM metrics and detect specific input/output content in real time.
- Access powerful governance, risk and compliance capabilities featuring workflows with automated approvals, customizable dashboards, risk scorecards and reports.
Details
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Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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, 10 concurrent users, 12000 evaluations | $36,000.00 |
Dimension | Cost/unit |
|---|---|
Use Case Overage | $15,000.00 |
Vendor refund policy
Please contact your client account team for refund information
Legal
Vendor terms and conditions
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)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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-supportÂ
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
0 ratings
0 AWS reviews
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42 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Ratnesh R.
Review for IBM Watsonex.governance
Reviewed on Sep 12, 2025
Review provided by G2
What do you like best about the product?
Much needed framework for governing models applications and data workflows.
Responsible AI Framework
Automated Compliance
Responsible AI Framework
Automated Compliance
What do you dislike about the product?
Not much as of now. New to me .Cost can be reduced if feasible.
What problems is the product solving and how is that benefiting you?
Customized dashboards and model factsheet,simplifies documentation.
Ashish D.
The tool is pretty solid for managing AI models and ensuring compliance,
Reviewed on Sep 11, 2025
Review provided by G2
What do you like best about the product?
It makes AI models more transparent and easier to explain to others
What do you dislike about the product?
Some features feel a bit complex to set up and need more guidance
What problems is the product solving and how is that benefiting you?
It helps ensure our AI models are compliant, explainable, and less biased, which makes it easier to build trust and meet regulatory requirements
Rishit C.
Reliable platform for AI governance
Reviewed on Sep 10, 2025
Review provided by G2
What do you like best about the product?
the ability to manage and monitor models across their lifecycle in a structured way. The explainability and transparency features are especially useful for building trust with stakeholders, since you can clearly see how decisions are being made. The automated governance workflows save time on documentation and compliance checks, making audits much smoother and also the dashboard seems good with so many features.
What do you dislike about the product?
The initial setup can feel complex, especially for teams that are not already using IBM’s ecosystem. There’s a learning curve in configuring policies and integrating all models into the platform.
What problems is the product solving and how is that benefiting you?
It is helping us address the challenge of managing AI models at scale while staying compliant with internal policies and external regulations. Before, it was difficult to track model performance, bias, and drift across different teams, which slowed down decision-making and created audit risks. With Watsonx.governance, we now have a centralized system to monitor all models, generate explainability reports, and automate compliance documentation
Sagar K.
Good tool for governance, bit room to improve - IBM watsonx.governance
Reviewed on Sep 09, 2025
Review provided by G2
What do you like best about the product?
It makes it easier to keep track of AI model risks and compliance without spending hours in spreadsheets. The dashboards are simple and I can see issues quick.
What do you dislike about the product?
Some parts feel a bit slow to load and integrations with other tools could be smoother. Takes little time to get used to navigation.
What problems is the product solving and how is that benefiting you?
It helps us keep AI models in check with compliance rules and track risks before they become big issues. Saves time and gives more confidence using AI in projects.
Swati A.
featuring high ratings, multiple categories, and numerous award-winning products.
Reviewed on Sep 09, 2025
Review provided by G2
What do you like best about the product?
Coverage across 343+ categories (AI, analytics, project management, IT services)
What do you dislike about the product?
mall and mid-sized companies sometimes find IBM products too “heavy” or costly compared to SaaS-native solutions
What problems is the product solving and how is that benefiting you?
It helps organizations detect and mitigate AI-related risks such as unfair bias, model drift, and erratic behavior—enhancing model performance and trustworthiness.