PII Detection Trend(5.4.7)

The absolute count of detections can be misleading if overall Jira activity is also changing. The detection rate, detections as a percentage of total events, is the more meaningful metric. A falling rate even as activity grows indicates that data hygiene is improving. A rising rate indicates that a growing proportion of work is generating personal data exposure.

What you can conclude

• A declining rate following a training initiative or process change is evidence that the intervention worked.
• A rising rate indicates that whatever is generating the detections is increasing: new integrations, new workflows, or team growth outpacing awareness.
• A stable rate indicates a steady-state pattern, with consistent and identifiable sources.

How this chart works

Weekly line chart showing total detections alongside total events, enabling the rate percentage to be tracked over time. The rate (right axis, green) shows detections as a percentage of all events. Use the date and project filters to focus on specific teams or periods.

What the plotted total contains. The detection line unions two arms: text matching an email address pattern, and text carrying a standalone run of 7 to 15 digits that does not parse as a date or a timestamp. The second arm is much looser than the first, and on a portfolio with many long internal reference numbers it can dominate the line. Read a move here together with the PII Type Distribution visual, which shows which arm moved.

A falling trend is what a GDPR reviewer typically wants to see after a remediation effort.