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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36 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.
Food Production
WatsonX Governance
Reviewed on Jun 23, 2025
Review provided by G2
What do you like best about the product?
The tool's proposal is good. The user experience as well. The content it aims to present.
What do you dislike about the product?
Difficult to use. Limited in connections. Limited in forms of implementations. The SDK is complex to use. A lot of latency and connection breaks with OpenScale during the use of the tool. Not very debuggable, difficult to find out what is going wrong when an error occurs.
What problems is the product solving and how is that benefiting you?
The monitoring of models.
* Training and release/update cycles of the endpoint.
* Model training metrics.
* Number of models in use.
* Training and release/update cycles of the endpoint.
* Model training metrics.
* Number of models in use.
Saurabh S.
Serve the best in class
Reviewed on Jun 20, 2025
Review provided by G2
What do you like best about the product?
Ensures trusted, compliant AI at scale..
What do you dislike about the product?
Complex setup and steep learning curve..
What problems is the product solving and how is that benefiting you?
IBM watsonx.governance helps make AI easier to understand, safer to use, and more reliable. It explains how AI makes decisions, checks for unfair bias, ensures the AI follows rules and laws, and monitors its performance over time. This means you can trust your AI, stay compliant with regulations, reduce risks, and save time by automating many tasks related to managing AI models.
Financial Services
Seamless monitoring
Reviewed on Jun 19, 2025
Review provided by G2
What do you like best about the product?
The ease with which I can manage my data pools and how much I have started relying on it for the needs of my larger team.
What do you dislike about the product?
Could be challenging to learn how to navigate.
What problems is the product solving and how is that benefiting you?
Helps me manage my data better by saving a lot of time and increasing productivity.
Mohammad A.
Choose the best in the league.
Reviewed on Jun 18, 2025
Review provided by G2
What do you like best about the product?
Trusted AI with strong compliance.......
What do you dislike about the product?
Limited customization options...........
What problems is the product solving and how is that benefiting you?
IBM watsonx.governance solves the problem of managing AI risk by ensuring transparency, fairness, and compliance in AI models. It helps track data lineage, monitor model behavior, and enforce regulatory policies. This benefits me by building trust in AI systems, reducing compliance risks, and enabling responsible AI deployment across projects.
Sagar V.
IBM G2 and Watsonx Governance Explained for Everyone"
Reviewed on Jun 18, 2025
Review provided by G2
What do you like best about the product?
IBM has two powerful tools to help them do this smartly and responsibly: IBM G2 and Watsonx Governance
It connects dots that normal systems might miss.
Key benefits
Finds hidden links and patterns in huge data sets
Helps catch fraud by spotting suspicious connections
Keeps learning and improving over time
Works fast, even in real-time
IBM G2 helps companies make sense of complex, messy data by showing connections and finding the truth.
Watsonx Governance makes sure AI is being used responsibly and ethically.
Together, they’re like brains and conscience — one finds the facts, the other keeps things honest.
Perfect for companies who want to use AI smartly, safely, and fairly.
It connects dots that normal systems might miss.
Key benefits
Finds hidden links and patterns in huge data sets
Helps catch fraud by spotting suspicious connections
Keeps learning and improving over time
Works fast, even in real-time
IBM G2 helps companies make sense of complex, messy data by showing connections and finding the truth.
Watsonx Governance makes sure AI is being used responsibly and ethically.
Together, they’re like brains and conscience — one finds the facts, the other keeps things honest.
Perfect for companies who want to use AI smartly, safely, and fairly.
What do you dislike about the product?
Setting up IBM G2 and Watsonx Governance isn’t as easy as plug-and-play. These tools are powerful but can be hard to configure at first. Companies may need expert help or training to use them properly.
What problems is the product solving and how is that benefiting you?
Helping companies follow laws by controlling what data is used, how AI is tested, and keeping audit trails.
Adding privacy and risk controls.
Helps companies stay compliant and avoid legal trouble
Adding privacy and risk controls.
Helps companies stay compliant and avoid legal trouble