Post to social media, run Google Ads, manage Shopify, inventory and phone calls from your AI.
AI SKILLS · Foundations
Handle data safely with AI
Decide what information an AI tool may access and who may see its outputs.
Why this skill matters
Useful assistance should not require exposing confidential work or personal information unnecessarily.
What to learn
- Classify data before sharing
- Review access and retention settings
- Use synthetic examples for experiments
Before you begin
No technical prerequisites
PUT IT INTO PRACTICE
Build a work sample
Create a data-sharing checklist for one workflow and test it using fictional records.
Evidence of progress
A documented permission boundary and a redacted example input.
This exercise is an original ToolGrail suggestion. Use public, synthetic, or approved data.
LEARNING RESOURCE
GenAI application security resources
OWASP · Resource checked 2026-11-04
Open learning resource ↗This may be documentation, a framework, or a training path. Product access, accounts, or paid licenses may be needed for hands-on exercises.
Tools you could practice with
Matched by related tasks. Use a tool you already have access to; these are examples, not course requirements.
Email inboxes for AI agents at ridianmail.com: read, draft, send, attachments. EU-hosted.
Shared project memory for people and AI agents: documents, ERD, diagrams, boards, design mockups.
Australian e-signatures: draft, prepare and track signing sessions, templates, forms and training.
Skill descriptions, exercises, and priorities are editorial. They are not professional qualifications or guarantees of employment. Read our skills methodology →
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