Content Governance and Control in ImageKit DAM
Build a secure, structured single source of truth, with built-in guardrails that keep teams aligned and assets production-ready.
See governance controls in action
Audit Logs and Asset History
Track all changes and access to your assets with comprehensive audit logs and detailed asset history.
Path Policies
Set up automated transformation and delivery rules based on file paths for streamlined asset management.
Draft Assets
Use draft state for assets that require review before being published to production.
Enforce content standards at scale
Use Path Policies to apply rules that keep teams organized, assets compliant, and workflows predictable..
Define allowed file types, size limits, naming conventions, and other quality checks, so your library stays clean, consistent, and production-ready from day one.
AI-powered Quality Control & Moderation
Automatically review and classify assets using configurable LLM-powered AI Tasks.
- Ask policy-driven questions like "Does this image contain our skincare product?" or "Is there a face visible in the image?"
- Map responses to moderation tags or metadata fields. Automatically flag assets with labels like "QC failed" for manual review
Combine automated screening with human oversight to enforce brand, safety, and compliance standards at scale.
Use DAM Agent to configure these QC workflows conversationally — describe what to screen for and it generates the task configuration to add moderation tags.
Granular permissions that match real-world roles
Assign View, Update, or Manage permissions to individuals or teams to grant limited access to sensitive assets.
Version Control & feedback in one place
Capture comments, approvals, and version history in one timeline. See what changed, why it changed, and how the asset evolved without losing context.
Audit Logs & Asset History keep you in control
Monitor system-wide changes, permission updates, and administrative actions at an account level. Stay compliant, accountable, and in control.
