Sold by: IBM Software
Deployed on AWS
Accelerate responsible, transparent and explainable AI workflows, governing both Gen AI and ML models.
4.3
Overview
Video
IBM watsonx.governance overview
Video
Monitor AI models with Amazon SageMaker
Video
Direct, manage, & monitor your GenAI and ML models
Video
Governing Amazon SageMaker AI Lifecycle
AI can transform business operations by driving efficiency and unlocking new opportunities. However, scaling AI introduces significant challenges related to governance, compliance and risk management. The stakes are high. Not complying with complex regulations can result in lengthy audits and costly fines. Moreover, reliance on manual tools can introduce errors and delays in your AI deployment cycles.
IBM watsonx.governance is an enterprise-ready AI governance toolkit designed to accelerate responsible AI workflows by governing any AI including models, applications or agents. It integrates seamlessly with existing systems, empowering businesses to adopt AI at scale. Moreover, it prepares you to meet regulatory requirements while optimizing costs. The key areas that watsonx.governance addresses are:
-
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.
-
Risk management - monitor for fairness, bias, drift and key LLM metrics, proactively detect and mitigate risks based on pre-set thresholds.
-
Compliance - Simplify compliance by translating external AI regulations into enforceable policies that are automatically applied across systems.
For custom configuration and pricing please contact watsonx_on_AWS@wwpdl.vnet.ibm.com
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
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/12 months |
|---|---|
IBM watsonx.governance starting configuration | $441,600.00 |
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) .
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.
Support
Vendor support
Review documentation, request IBM Support, or explore the watsonx.governance on the IBM Community
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.
Similar products
IBM watsonx.data intelligence is a self-managed software solution that empowers organizations to manage, govern, and share trusted data by unifying data governance, quality, lineage, and data sharing, providing consumers with reliable data products.
Consume IBM® Db2® Standard Edition licenses at an hourly rate on Amazon RDS for Db2 in a fully managed database service. Deploy Db2 instances up to 16 virtual processor cores (VPC) and 128 GB of memory.
Consume IBM® Db2® Advanced Edition licenses at an hourly rate on Amazon RDS for Db2 in a fully managed database service. Deploy Db2 instances of any size with Db2 Advanced Edition.
IBM QRadar SIEM empowers security analysts and security operations teams with the visibility, automation and insights needed to quickly detect anomalies and uncover advanced threats in real-time.
IBM Granite 3.2 Instruct is an open-source model with controllable reasoning, offering strong performance and enhanced complex thinking.
IBM Verify Identity Access helps you simplify your users' access while more securely adopting web, mobile and cloud technologies.
IBM Granite 3.2 Instruct is an open-source model with controllable reasoning, offering strong performance and enhanced complex thinking.
IBM's Granite 3.0 2B Instruct is a 2B-parameter AI model for enterprise use, excelling in multilingual and code tasks; Apache 2.0 licensed.
Customer reviews
Manu M.
Comprehensive AI Governance, But High Cost for Small Businesses
Reviewed on Dec 17, 2025
Review provided by G2
What do you like best about the product?
The best part of Watson.governance is that it helps businesses manage, monitor, and scale AI responsibly by providing a comprehensive toolkit for governance, risk management, and compliance.
What do you dislike about the product?
My biggest dislike about Watson.governance is its cost. It's way more costlier than its alternatives which makes small scale business to think twice before purchasing
What problems is the product solving and how is that benefiting you?
The main benefit of Watson.governance is that it tackles important challenges in managing enterprise AI, especially by making sure that models remain compliant with regulations, secure, and transparent throughout their entire lifecycle.
Laxmi Ganesh K.
Robust AI Governance with Some Complex Onboarding
Reviewed on Dec 17, 2025
Review provided by G2
What do you like best about the product?
I like that IBM watsonx.governance provides centralized fact sheets for every AI set, which include ownership, purpose, risk, matrices, and approvals all documented in one place instead of multiple tools. The built-in control for monitoring performance, increased bias, and generated AI quality is great, as it links these checks to clear policies and workflows, making governance a part of day-to-day operations. It's designed with regulated industries in mind, having a strong focus on auditors, comprehensive documentation, and policy enforcement, which directly supports responsible and complete AI usage.
What do you dislike about the product?
It feels quite heavy for smaller teams or early stage AIUs. The setup concepts and work processes are more suited to large enterprises with mature AI programs, so the learning curve can be high. The interface and technology are very IBM enterprise type, which can be overwhelming for non-technical or semi-technical stakeholders who just want simple and clear views and actions. Because it isn't a part of the whole IBM ecosystem, integration and adoption might be slower or more complex, especially if there's already a mix of non-IBM tools and existing governance processes.
What problems is the product solving and how is that benefiting you?
IBM watsonx.governance helps me understand AI governance clearly and manage AML roles better. It centralizes AI model tracking and documentation, enhancing credibility with clients. The product's built-in controls and fact sheets streamline governance for regulated industries, making day-to-day operations smoother and more credible.
Tushar S.
Centralized Control for AI Governance, Needs Smoother Onboarding
Reviewed on Dec 17, 2025
Review provided by G2
What do you like best about the product?
I like that IBM watsonx.governance provides centralized control over all models. It gives me data to see what models exist, who owns them, when they're used, and their risk levels, which really helps eliminate chaos. I also appreciate the built-in governance feature, as it shows that compliance is not an afterthought.
What do you dislike about the product?
Non-technical stakeholders struggle with proper onboarding or training. The enterprise setup is heavy, and customization takes time. The integration system works best with IBM systems.
What problems is the product solving and how is that benefiting you?
IBM watsonx.governance provides me with end-to-end solutions for AI/ML workflows and a centralized system to manage, monitor, and enforce safe, compliant, and auditable AI model use across my organization.
ayushi j.
Streamlines AI Governance with Ease
Reviewed on Dec 16, 2025
Review provided by G2
What do you like best about the product?
I really like the automated AI Factsheets feature of IBM watsonx.governance because it creates clear, audit-ready documents without any manual work, making compliance much easier. The real-time monitoring of bias and model drift is also a standout for me as it helps catch issues early, reducing risk and ensuring the models stay reliable and stable in production. Also, it integrates well with the model development platform, data pipelines, and monitoring tools we already use. Overall, these features reduce ongoing manual efforts and provide a smoother experience.
What do you dislike about the product?
I think the setup and initial configuration can feel a bit complex and time-consuming, especially when integrating with existing tools and workflows.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.governance to manage AI models ensuring regulatory compliance and transparency. It automates AI factsheets, provides real-time monitoring for bias, reduces manual audits, and offers real-time alerts, saving time and making compliance easier.
Vamsidhar M.
Revolutionizes AI Compliance and Audit Efficiency
Reviewed on Dec 16, 2025
Review provided by G2
What do you like best about the product?
I love how IBM watsonx.governance automates the monitoring and compliance of our AI models. It tracks model drift, fairness, and bias, making sure we're audit-ready and compliant with internal standards. I appreciate that it solves the challenge of manual documentation and regulatory preparation. The automated documentation feature is fantastic, saving us huge amounts of time by creating 'nutrition labels' for our models and automating model factsheets and lineage tracking. I also love that the documentation is 'live,' always up-to-date with any model retraining or updates. The platform was relatively straightforward to set up, thanks to the SaaS version, which allowed us to start connecting our models within a few days. It's an absolute must-have for any enterprise serious about AI compliance, handling regulation better than anything else on the market.
What do you dislike about the product?
The platform is extremely feature-rich, which can make the user interface feel overwhelming and difficult to navigate for new users. They should offer simplified, role-specific dashboards. For example, a Risk Officer only needs to see high-level compliance stats, while a Data Scientist needs technical metrics. Separating these views would reduce clutter.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.governance to automate AI model monitoring and compliance, tackling the challenge of manual documentation and regulatory preparation. It automates model factsheets and lineage tracking, saving time and keeping us audit-ready without impacting development speed.