About Collibra AI Governance

Collibra AI Governance allows you to create a centralized repository for AI agents, AI models, and AI use cases, offering a holistic end-to-end view of all your organization's AI projects. It is designed to minimize the burden of model developers and governance professionals alike.

Design priority Objective
Focus on developer needs. Help AI producers, such as Data Scientists, achieve business value through AI initiatives more effectively.
Address documentation pain points. Address common developer challenges, such as the initial aversion to cumbersome governance and the risk of performing duplicate work due to poor registries. Comprehensive asset pages help address the issue of minimal, outdated, and scattered documentation often found in collaborative documentation tools.
Promote efficient workflow activities.
  • Make it easy for AI producers and other stakeholders to add collaboration activities such as assessments and sign-off activities, thereby providing structured support for the entire lifecycle.
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    Collibra University training courses

    Be sure to check out the following AI Governance courses in Collibra University:

    AI Governance process flow walk-through

    This topic describes the Collibra AI Governance process flow, from registering an AI model or AI use case, to collaborating to assess the AI model or AI use case, and finally approving the Assessment Review asset.

    Tip For all of the requirements and permissions needed for full access to the AI Governance features, including registering AI agents, AI models, and AI use cases, and conducting and submitting assessments, go to:

    The process starts with an AI use case

    A Business Steward kicks off the process by registering the use case. AI Command Center aims to remove the burden and the intimidation for business users who want to register AI use cases. This first step is often the biggest hurdle. The objective at this point is simply to register the use case. Don't worry if you don't know all of the details relative to the use case. Once the use case is registered, providing the details of the business value and associated risks is a collaborative effort.

    When you register a new AI use case, an AI Use Case asset is created in the specified domain. You can view the Owner and all other assigned responsibilities in the Responsibilities tab on the AI Use Case asset page.

    By default, the following out-of-the-box assessment templates are added to the Lifecycle tracker on the AI Use Case asset page.

    The user who starts an assessment is automatically assigned the Owner of the assessment.

    You can configure which assessment templates and sign-off activities are automatically added to the Lifecycle tracker when a new AI Use Case, AI agent, AI model version or AI Base Model is registered. For complete information, go to Configure lifecycle activities for an asset type.

    AI asset pages: your sources of truth

    The AI Governance asset pages are working records where stakeholders can collaborate as an AI agent, AI model, or AI use case evolves, to capture critical details as they become known. The asset pages are intended to be a single source of truth, where all stakeholders can quickly identify the business value and all associated risks.

    When it's time to review and approve the use case, every stakeholder involved in the project has easy access to all of the business and technical information needed to complete the evaluation, including:

    The out-of-the-box AI Governance community

    The out-of-the-box AI Governance community comes with two domains:

    You're free to create new domains or use other existing domains to store your AI-related assets. Just be aware of the different domain types: Business Asset Domain type for AI Use Case assets; Technology Asset Domain type for other AI-related assets.

    Integrate and manage your AI models

    Collibra offers out-of-the-box integrations that ingest Machine Learning (ML) model metadata as assets via Edge. Supported integrations include:

    If our Collibra-supported integrations don't suit your needs, you can perform a custom integration. On the Collibra Developer Portal, you can find a tutorial explaining how to use Python to create and synchronize AI Models in Collibra.

    The Model Registry

    AI model and AI agent lifecycle management is essential for organizations dealing with numerous AI models and AI agents running simultaneously across different departments. The Model Registry, which includes the Agent Registry product page, helps AI producers and other stakeholders:

    By addressing the challenges faced by Data Scientists and AI leaders in managing AI model and AI agent lifecycles, AI Governance enables them to effectively execute AI initiatives and deliver business value through collaboration between all stakeholders.

    Note Collibra now uses the New app experience, which is enabled by default. This feature moves the navigation tabs from the top of the page to the left sidebar. The screenshots and steps in this topic might not reflect the new experience.

    Link your AI use cases to the AI models and AI agents they use

    Linking your AI use cases to the AI models and AI agents they use is critical for optimizing the effectiveness and efficiency of your AI project.

    Improved management
    Provides a clear understanding of which AI model versions and AI agents are responsible for specific tasks, to facilitate project management and resource allocation.
    Performance tracking
    Allows for precise tracking and evaluation of AI performance within specific use cases, making it easier to identify areas for improvement.
    Faster troubleshooting
    Simplifies the process of identifying and addressing issues by pinpointing the exact AI components involved in a use case.
    Better decision-making
    Enables more informed decision-making by providing insights into the effectiveness of different AI models and AI agents in various contexts.
    Scalability
    Scales AI applications by understanding which AI models and AI agents are most effective, and adapting them to new or expanding use cases.
    Continuous optimization
    Fosters a culture of ongoing refinement by regularly assessing the performance and relevance of AI models and AI agents in relation to their use cases.

    The AI Governance assessments are designed, in part, to automatically link your AI agents and AI models to the AI use cases that use them. For example, when you conduct a Data and AI Models assessment of an AI use case, you are prompted to specify any AI models used by the use case. Likewise, the Model Business Context assessment prompts you to specify which AI use cases use the AI model that you are assessing. Collibra then adds the relevant relations, effectively linking the assets.

    AI model traceability

    AI model traceability automatically links AI Use Case assets to the specific AI model versions and agents they use, when ingesting metadata directly from integrated AI platforms. This feature streamlines governance by auto-stitching lineage between models, their underlying data, and the high-level business initiatives they support.

    Design priority Objective
    Save time with auto-stitched traceability. Automatically stitch data and AI-related assets, so that AI producers and Data Stewards can focus on building, not backtracking.
    Reduce regulatory risk. Provide built-in impact analysis to flag potential issues tied to data privacy, quality, and legal exposure.
    Build trust in AI. Ensure that only verified, approved data is used, and ensure that usage is transparent to all stakeholders.

    Manually link assets

    You can also manually add the relations via asset pages.

    Assessments: a tool for driving collaboration

    The Owner is responsible for driving the assessment, but collaboration from Analytics, Data Offices, Legal, Privacy teams, and so forth, is essential to ensuring that all critical details and associated risks are identified and recorded in the assessments.

    AI Governance uses the Collibra Assessments app and features to enable stakeholders to add essential details to your AI use cases and document associated risks.

    Collibra comes with the following out-of-the-box assessments:

    Type Template Associated asset type* Description
    AI governance Business Context AI Use Case Allows you to provide details about how your AI use case will impact the business. Your organization will use this information to understand the business needs and requirements associated with implementing your AI use case.
    AI governance Data and AI Models AI Use Case Allows you to provide details about the AI model versions and data that will be used for the AI use case. Your organization will use this information to understand the potential workload and risks associated with implementing your AI use case.
    AI governance Legal and Ethics AI Use Case Helps you to identify potential legal and ethical risks associated with the AI use case. Answers will become a part of the AI use case definition.
    AI governance Risks and Safeguards AI Use Case Helps you to identify and document potential business-related risks associated with the AI use case, as well as available safeguards. This will help your organization determine the overall risk of this Use Case.
    AI governance EU AI Act Assessment AI Use Case Helps you to determine the applicability of the European Union's Artificial Intelligence Act to a proposed AI use case.
    AI governance NIST AI Risk Management Framework Business Asset Helps you align with the NIST AI Risk Management Framework by evaluating AI systems across its core functions — Govern, Map, Measure, and Manage — to support responsible and trustworthy AI use.
    AI governance

    Model Business Context

    		AI Model Version Helps you to define business context, estimate resources, identify stakeholders, and ensure alignment with goals and organizational constraints.
    AI governance

    Model Information Collection

    		AI Model Version Allows you to provide details about the AI model version you'll be training and using.
    AI governance

    Model Data Collection

    		AI Model Version Allows you to provide details on the data you will use and collect with the deployed AI model that is being assessed.
    AI governance AIUC-1 Compliance Assessment AI Agent Help you to determine the compliance of an AI agent or system with the AIUC-1 standard (the "AIUC-1") and, to the extent it applies, to assist with evaluating your AI use case against the technical, operational, and legal safeguards required for secure, safe, and reliable enterprise adoption of AI agents.

    * For information about associated asset types, go to Asset type in a template.

    These templates were designed with insights obtained from extensive research and interviews with Collibra users and data professionals, to elicit critical input and considerations from the key stakeholders in your organization.

    Notify assessment Owners and Assignees

    You can use the notifications feature in your assessment templates to ensure that:

    In the Properties sidebar of any assessment, you can identify the two resource role assignments: Owner and Assignees.

    By default, notifications are switched on for the out-of-the-box assessments and any custom templates that were created as of the release of Collibra version 2024.10.

    For more information on notifications, go to Assessment notifications.

    Completing the process: Approving the assessments

    When an assessment is complete and the Owner clicks Submit for Review:

    When the assessment is approved, depending on the assessment template, certain assessment responses are copied to the AI Model Version or AI Use Case asset page. The following table shows the conditions under which responses are copied to the asset page.

    If the assessment template is... Then...
    One of the out-of-the-box AI Governance assessment templates

    Certain assessment responses are automatically copied over to the asset page.

    For a complete list of questions for which responses are copied to the asset page, and how they map to the characteristics on the asset page, go to Mapping of copied assessment responses and asset characteristics.
    Any custom assessment template

    The response to every question for which the "Copy Response to Assessed Asset" option is selected in the assessment template, are copied to the asset page.

    For complete information, go to Copy response to asset.