Managing risk and compliance with IBM watsonx Governance Console
Use the Governance Console in IBM watsonx.governance to mange risk and regulatory compliance for generative AI assets and machine learning models.
The Governance Console is an integrated governance, risk, and compliance (GRC) suite that you can use to identify, manage, monitor, and report on risk and compliance initiatives that span your enterprise.
With the Governance Console, you can collect metadata about foundation models and machine learning models to help you achieve your governance goals. You can also use the Governance Console to develop workflows that support your governance processes.
From the Governance Console, you can view and manage the following metrics, alerts, and activity:
- LLM-specific metrics that measure dimensions for generative AI assets, such as prompt templates for foundation models. These metrics measure the accuracy and fairness of prompt content.
- Metrics that measure dimensions for machine learning models, such as quality, fairness, and drift.
- Alerts that indicate when a metric is less than a threshold.
- Workflow activity for moving assets through an approved process flow.
- Task lists that prompt for upcoming governance and compliance tasks.
When you open the Governance Console, your user profile is associated with a predefined governance solution that addresses a tailored set of governance goals. The Governance Console provides the following governance solutions. Your Governance Console might include one or all of these solutions.
- watsonx.governance Model Risk Governance solution
- Manage all tracked models and prompt templates so that you can review all of your AI solutions across the AI lifecycle.
- watsonx.governance Operational Risk Management solution
- Track model risk and other operational risks across the enterprise. Link use cases to business processes.
- watsonx.governance Regulatory Compliance Management solution
- Manage AI regulations for models and use cases. Track regulations that impact models and model use cases. Respond to regulatory changes to make sure that your models and use cases align with changes to related regulations. Link use cases to regulatory mandates.
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