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Complete Guide to Audit Logging with Clarifai

Complete Guide to Audit Logging with Clarifai_blog_hero

Introduction

Fast-moving AI teams work in environments where models evolve, data shifts, and user activity never stops. Without robust audit logging, tracking down bugs, investigating suspicious behavior, or proving compliance can quickly become overwhelming.

Clarifai’s Audit Logging feature takes the guesswork out of monitoring platform activity. It gives you a detailed, timestamped trail of every meaningful action: who triggered it, what was affected, and the outcome. Whether you’re tracking resource changes, investigating a security event, or preparing for an audit, Clarifai makes it easy to see exactly what’s happening under the hood.

In this blog, we’ll look at why audit logging is essential, what Clarifai captures under the hood, and how you can access these logs, both through the Control Center UI and programmatically via the API.

What Audit Logging is and Why it matters

Clarifai’s audit logging feature gives you complete visibility into what is happening across your platform. It records every important action performed by users, capturing details such as what activity occurred, who initiated it, when it took place, where the request originated, and what the outcome was. From model deployments to permission updates, every operation is tracked.

This level of detail is essential for several reasons:

  • Security: By monitoring user activities and resource changes, you can detect suspicious behavior or unauthorized access and respond quickly.

  • Compliance: Audit logs help meet regulatory requirements by providing a verifiable history of actions.

  • Operational Oversight: Logs provide a clear view of how the platform is being used. Teams can trace errors, monitor changes, and understand system behavior during debugging or reviews.

  • Transparency and Accountability: A clear audit trail promotes responsible usage by making it easy to verify who made changes and when. This is especially valuable in collaborative or enterprise environments.

Clarifai makes audit logging accessible through both the Control Center UI and a dedicated API. Whether you prefer a visual dashboard or programmatic access for automation and integrations, you can easily monitor and manage your platform’s activity. Let’s take a look at how you can access the logs using the Control Center UI through the Teams & Logs tab.

Using the Clarifai Control Center for Audit Logs

The Clarifai Control Center offers a centralized interface for gaining visibility into platform activities. Within this interface, the Teams & Logs tab is your go-to destination for monitoring detailed audit logs. This feature helps you track exactly what actions were performed, who initiated them, when they occurred, where the requests originated, and whether they succeeded or failed. It’s designed to improve platform transparency, security, and governance for teams of all sizes.

Accessing the Teams & Logs Tab

To begin exploring audit logs, navigate to the Control Center and select Teams & Logs. This will give you a view of platform operations, helping you track user and resource activities across your organization.

Screenshot 2025-04-16 at 6.26.04 PM

What You Can Track

The Teams & Logs tab captures critical operations across multiple areas of the platform. These include:

  • Organization and Team Membership Activities: Track the creation, updating, and deletion of organizations and teams, including invitation management and user access within teams and applications.

  • Collaborator Activities: Monitor when collaborators are added or removed and see any changes to their permission scopes.

  • Application Activities: View lifecycle events such as the creation, duplication, updating, and deletion of applications.

  • Model Activities: Log key events like model creation, training, publishing, and deletion.

  • Workflow Activities: Capture events related to creating, publishing, updating, and removing workflows.

  • Module Activities: Track the creation, editing, and deletion of modules.

Audit Log Details

Each audit log entry includes the following metadata:

  • When: The exact timestamp of when the operation was performed.

  • Who: The identity of the user who initiated the action.

  • What: A description of the operation, including the type of resource affected.

  • Where: The originating IP address from which the request was made.

  • Status: Whether the operation was successful or failed.

This information helps you trace actions precisely and troubleshoot issues efficiently.

Filtering Options

To help you navigate the logs effectively, the Teams & Logs tab includes robust filtering features:

  • Filter by App: By default, you will see logs from all your applications. You can narrow this down by selecting specific app(s) using the dropdown menu in the top-right corner of the page.

    Screenshot 2025-04-16 at 6.32.22 PM

  • Filter by Date Range: Use the date selector in the top-right corner to view logs from a specific time period. Clicking the calendar icon allows you to choose a custom date range. The current date is not selected by default, so make sure to include it if needed.

    Screenshot 2025-04-16 at 6.35.36 PM

Accessing Audit Logs via the Clarifai API

Clarifai offers robust API access to audit logs, making it easy to retrieve and filter activity data programmatically. Whether you’re building internal dashboards, setting up alerting systems, or automating compliance workflows, the API gives you full control over how you consume and monitor log data.

In this section, we’ll focus on using the Python client and walk through key ways to interact with audit logs. We’ll cover how to list all events, apply filters based on operation type, narrow results by time range, and track user-specific activity.

List Audit Log Events

To start, here’s how you can retrieve all audit log events using the Clarifai Python gRPC interface:

Filter Searches

You can make your queries more focused by filtering audit logs based on the specific criteria you care about.

Operation-Based Filtering

Operation-based Filtering: Filter events by operation type, such as when a model was trained, a module was updated, a collaborator was added, or a workflow was published.

Time-Based Filtering

Time-based Filtering: Track activity within a specific time window by defining precise start and end timestamps.

Advanced Filters and Features

You can also:

  • Filter logs based on the target of the action (e.g. a specific model or app)

  • Limit results by success/failure status

  • Track where requests originated (source-based filtering)

  • Sort results by timestamp

  • Paginate through large result sets

These options give you complete control over how you monitor and audit your platform activity. You’ll find the full list of filters and options in the Clarifai API documentation.

Conclusion

Audit logging is essential for any organization working with AI infrastructure. It ensures transparency, accountability, and traceability across every action performed on the platform. Whether you’re investigating issues, enforcing compliance, or simply keeping tabs on team activity, Clarifai gives you the tools to do it effectively.

With both the Control Center UI and the API, you can access detailed audit trails and integrate them into your internal dashboards, monitoring systems, or workflows. From model creation to workflow updates and user-level changes, Clarifai’s logs give you full visibility into what’s happening across your organization.

Looking ahead, we’re expanding this visibility even further. Soon, audit logging will also cover compute orchestration activities. You’ll be able to track actions related to dedicated compute resources—including cluster creation, node pool configuration, and model deployment on your own machines. This will give you even deeper insights into how infrastructure is being provisioned and used within your org.

Stay tuned and join our Discord community to get the latest updates.


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