PII Detections by Project

Personal data should not appear in Jira issue summaries or comments. When it does — email addresses, phone numbers, or personal ID numbers — it represents a potential GDPR compliance risk that needs to be remediated. This visual shows how PII detections are distributed across projects and what types of personal data are appearing most frequently.

What you can conclude

• A project with a high PII detection count has a data hygiene problem — team members are routinely including personal data in issue text that should be kept out of the tracker.
• The dominant PII type tells you what to focus on in training and process: email addresses are often copy-pasted from support tickets, phone numbers from customer data.
• A project with zero detections is either very clean or has very low textual data in issues — context matters.

How this chart works

Stacked bar chart showing PII detection counts per project, broken down by type (email address, phone number, numeric ID). Each issue is counted once per type. Use the date and project filters to focus on specific periods.