Compliance
This page covers compliance features and capabilities available in the Deepchecks platform
As AI systems become increasingly integrated into business-critical workflows, maintaining regulatory compliance and governance standards is essential. Deepchecks provides built-in compliance capabilities to help organizations meet industry standards, track accountability, and ensure transparency across their AI operations.
Audit Logs
Deepchecks automatically logs every create, update, and delete action performed across the platform. Each log entry captures the acting user, timestamp, action type, affected resource, IP address, and request details. Sensitive data such as API keys, tokens, and credentials is automatically redacted from log entries.
Accessing Audit Logs:
Navigate to Workspace Settings and click Download Audit Logs. Select a date range (up to 90 days) and export as CSV. The exported CSV includes columns for action type, user email, description, application context, IP address, status code, and full request payload, enabling offline filtering and analysis in different tools. Note that Audit log export is available to organization Owners and Admins.
AI-Generated Labeling
Samples created through AI generation are automatically labeled as AI-generated. In the UI, these samples display a sparkle icon (✨) next to their input, with a tooltip indicating "This sample was originally generated by AI." If you manually edit an AI-generated sample, the label updates to reflect that it was "originally generated by AI and edited manually," so you always have visibility into the origin and modification history of each sample. At the dataset level, if all samples in a dataset were AI-generated, the sparkle icon also appears next to the dataset name in the datasets list. This labeling helps you distinguish between manually curated and AI-generated test data as you build and refine your evaluation datasets.
Updated 2 days ago