Data, privacy, safe tool use
A practical, non-legal-jargon view of where data flows when you use AI, and how to choose between public chat, enterprise plans, vendor APIs, and on-prem options for the same task.
What you will learn
- Map the data path for any AI workflow your team runs.
- Choose the right tool tier for a given risk profile.
- Run a quick connected-tool audit.
How you’ll learn this module
Built around evidence-informed learning methods. Designed to support retrieval practice, feedback, and spaced review.
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Topics covered
Data flowsWhere each input lives and for how long.
Tool tiersPublic, enterprise, API, self-hosted.
Connected toolsWhen AI plugins read more than expected.
Sensitive categoriesClient data, finance, HR, IP.
Suggested learning sequence
01
Map
Draw the data path for one workflow. ~15 min.
02
Match
Match each workflow to its right tier. ~15 min.
03
Audit
Audit one connected tool. ~15 min.
Practical exercises
- Identify one workflow currently running on the wrong tier. Propose a fix.
- Disable one unnecessary AI plugin or integration this week.
Practice with the AI Tutor
Run this module on a real workflow
Bring one piece of work into the tutor. It turns this module’s topics into risk flags, a practice mission, an experiment, and an evidence record.
Open the AI Tutor for this module