Identify the information
Recognize confidential, personal, regulated, credential, customer, source-code, and security-sensitive material.
Focused AI data-safety training
Protect company data
when using AI.
Employees learn to recognize the complete information boundary around AI—not only typed prompts, but uploads, recordings, connected files, browser permissions, generated output, logs, and incident response.
LEARNING OUTCOMES
Make the safe data decision before submission.
This focused course helps employees slow down at the moment information is typed, uploaded, connected, recorded, or generated. It reinforces organizational classification and approval rules without pretending one generic course can define every company's permitted data.
Use only what is necessary
Reduce fields, granularity, time range, access, and connected sources instead of treating full files as default context.
Confirm the complete boundary
Check the approved service, account, purpose, permissions, retention, sharing, and output handling before use.
Act when exposure occurs
Stop, preserve relevant details, report promptly, and follow credential rotation or incident-response instructions.
COURSE CURRICULUM
The complete AI information boundary
Prompts, uploads, connectors, recordings, logs, generated output, retention, and downstream sharing.
Classification and minimum necessary use
Recognizing sensitive categories and using the smallest policy-permitted data for the approved purpose.
Credentials, secrets, and confidential work
Why redaction, chat deletion, or asking a model to forget may not reverse disclosure.
Files, meetings, and connected systems
Broad permissions, meeting bots, external participants, customer records, and least-privilege access.
Generated output and downstream disclosure
Preventing sensitive input from resurfacing in documents, code, summaries, links, or unintended audiences.
Exposure response and assessment
Prompt reporting, credential rotation, preserved context, and ten server-selected workplace scenarios.
Scope: The organization remains responsible for defining its approved tools, information classifications, permitted purposes, retention requirements, and incident-reporting channels.
TURN DATA POLICY INTO PRACTICED DECISIONS
Before they paste.
Before they upload.
Give employees a practical AI data-protection course and keep verifiable completion evidence.