T7Reporting & Client Communication with AI
Anonymisation and data protection
Engagement data is a map of a client's weaknesses, and reports often carry PII and secrets. This module covers de-identification discipline, handling sensitive data, redaction before sharing, and never leaking client data into third-party models.
Intermediate3 min readassociate streamUpdated Sat Aug 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Learning objectives
- Explain why engagement data is inherently sensitive and how to treat it.
- Apply de-identification and redaction to evidence before it is shared.
- Handle PII, credentials, and secrets discovered during testing responsibly.
- Avoid leaking client data into third-party AI models outside the client's agreement.
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