Security
Privacy Protection Playbook for AI Image Workflows
Protect user privacy with data minimization, access controls, and secure deletion practices for AI image projects.
Overview
This AI privacy protection playbook outlines the minimum safeguards that reduce exposure and improve user trust.
Use it to align your team on data handling and retention rules.
Key topics: ai privacy protection, private ai workflow, secure ai image handling.
Data minimization
Collect only the data you need to complete the request. Avoid storing extra metadata or unused uploads.
When possible, process images in-memory and delete files immediately after delivery.
- •Limit required fields in intake forms.
- •Avoid storing raw files longer than needed.
- •Separate sensitive metadata from outputs.
Access controls
Restrict access to assets based on role. Creators should not see compliance logs unless necessary.
Use short-lived links and require authentication for every download.
- •Apply role-based access to assets.
- •Use time-limited delivery links.
- •Audit access logs monthly.
Secure deletion
Define a retention schedule and automate deletion. Manual processes are easy to forget.
If a user requests deletion, honor it quickly and document the action.
- •Automate deletion workflows.
- •Honor removal requests within 24 hours.
- •Document deletion outcomes.
Privacy checklist
- ✓Only required data collected.
- ✓Role-based access enforced.
- ✓Delivery links set to expire.
- ✓Deletion schedule automated.
- ✓Removal requests logged.
Keyword focus links
Jump to the core tools, workflows, and policies tied to this guide.
Related tools and resources
Frequently asked questions
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