Audit Log

Why audit logging matters

In AI and ML development, accountability and traceability aren't just best practices—they're essential.

With regulations like the EU AI Act, organizations must demonstrate control over their AI development and deployment pipelines. Audit logs provide the detailed, immutable record that lets you trace model origins and ensure development meets compliance requirements.

What audit logs enable

• Ensure compliance: For regulated industries, having a verifiable history of all actions is mandatory. Audit logs act as an evidence trail, critical for compliance audits and legal investigations.

• Debug issues: When something goes wrong, you need to know exactly what actions were taken and by whom. Audit logs pinpoint the source of problems quickly and with clarity.

• Maintain accountability: In large teams, it's essential to know who is responsible for each change. Audit logs provide a clear picture of individual contributions and actions across your organization.

Key capabilities

Activity tracking

Captures all relevant activities with detailed information about who performed the action, what was done, and when it occurred.

Every log entry includes:

• Who performed the action

• What action was taken

• When it happened

• Where the action originated (IP address, location)

Immutable records

Audit logs cannot be modified or deleted through the UI or API. This safeguards the integrity of the log and ensures you always have an accurate, unchangeable record of all actions.

Long-term retention

Events are retained for 180 days from the date of occurrence, providing a comprehensive record over an extended period.

Export capability

Export filtered logs in CSV format for integration with your reporting or audit processes.

View limitation

The audit log view displays the 500 most recent entries. All entries are available via export.

Accessing audit logs

Audit logs can be accessed in two ways:

Organization view

Access through the organization dashboard under "Audit Log."

Shows all events across the organization with filtering by date range, project, or model.

Audit log organization view

Models view

Access through the "Audit Log" tab in model details.

Pre-filtered to show only events related to the specific model or model version. Filter by date range.

Audit log models view

Event information

Each audit log entry contains the following information:

Field	Description
Timestamp	The exact time when the event occurred
Event Category	Area of Valohai where the event occurred
Event Type	Specific action that was performed
Event Subject	Resource affected by this event
Event Properties	Additional details specific to the event type
Project	Name of the associated project (if applicable)
Actor	Name of the user or system that performed the action
Source	Origin information of the event (e.g., IP address, location)

💡 Source information is only visible to organization administrators.

Tracked events

Execution events

Event Type	Properties
Run	Commit ID, environment ID, step name
Stop	-
Delete	-
Rename	Old name, New name

Task events

Event Type	Properties
Run	Workload (execution, pipeline)
Stop	-
Delete	-
Rename	Old name, New name

Pipeline events

Event Type	Properties
Run	-
Stop	-
Delete	-
Rename	Old name, New name

Datum events

Event Type	Properties
Import	-
Download	-
Delete	-
Preview	-

Dataset events

Event Type	Properties
Create	Dataset name
Delete	-
Rename	Old name, New name

Dataset version events

Event Type	Properties
Create	-
Archive	-

Model events

Event Type	Properties
Create	Model name
Archive	-
Rename	Old name, New name
Description change	Old description, New description

Model version events

Event Type	Properties
Create	-
Approve	-
Reject	-
Tag change	Old tags, New tags
Download	-

User events

Event Type	Properties
Login	-
Logout	-
Team membership change	Old teams, New teams
User name change	Old name, New name

Exporting audit logs

You can export audit logs for further analysis or record-keeping.

The exported CSV file includes all events within your selected date range, with one event per row.

Built for AI governance

As AI governance evolves, so do the requirements placed on organizations developing and deploying AI.

Valohai’s Audit Log provides a complete record of every action across your ML projects, making it easy to meet these demands.

Whether you're navigating compliance requirements like the EU AI Act, debugging production issues, or ensuring accountability within your team, the Audit Log delivers the transparency and control you need—right out of the box.