Collect enough context to support decisions. More personal data does not automatically improve analysis; every field needs a clear purpose.
Evaluation approach
Document purpose, access and retention for each field. Prefer limited correlation over raw identifiers where possible. Compare SDK defaults with observed traffic.
Application example
Use an event identifier and technical context for a device-risk record instead of attaching the user's entire transaction content.
Limits and considerations
A security purpose does not make collection unlimited.
Require a decision purpose for every field
Ask which decision each field supports. Remove unused or needlessly detailed information. Sensitive business content should not become a default attachment to technical events.
Removing a field must change SDK transmission, transport and storage, not just its display. If deeper investigation needs more detail, use controlled access and a bounded process.
Checks and decisions
- Inventory fields
- Mask sensitive values
- Remove unnecessary data
Version telemetry schemas alongside data-protection assessments.
Sources
The primary references above provide the technical basis. Example workflows and evaluation suggestions are this publication’s explanations, not independent test results for a particular product.