For Canva Pro users and small brand teams: learn to classify campaign data, use anonymised stand-ins and image placeholders, and configure team settings to stop private client information from leaking into AI tools.
What you will be able to do
- Classify campaign data: Distinguish between public and private campaign information. You will apply this to customer lists and identifying images to ensure sensitive data never enters an unapproved cloud tool.
- Use text anonymisation: Replace private customer names and campaign details with anonymised stand-ins. Use these placeholders in your prompts to maintain data structure while keeping individual identities private.
- Implement image placeholders: Select appropriate image placeholders to replace identifying client photos during the design phase. You will establish a workflow to add private photos only after AI work is complete.
- Configure team permissions: Organise AI actions into 'always allowed', 'needs approval', or 'never' categories. Use these settings to prevent the team from performing forbidden actions with private data.
- Draft a formal AI policy: Create a written AI usage policy for your clients. This document will outline the specific safeguards you use, such as anonymisation and placeholders, to protect their sensitive data.
- Establish a secure AI workflow: Combine classification, stand-ins, and team settings into a repeatable process. You will use this system to leverage Canva AI features without risking the leak of private client assets.
Taught at learn.m-a-s-t-e-r.ai: lessons that adapt to your level, an AI tutor you can ask anything, quizzes and flashcards, and a certificate when you finish.
