PII Risk by Actor

When PII appears in Jira, someone put it there. This visual identifies which actors are most frequently creating or updating issues that contain personal data patterns — so that targeted awareness training or workflow guidance can be directed at the right people.

This is not a disciplinary ranking — most people who include personal data in Jira do so accidentally, often by copy-pasting from emails or support tickets. The goal is to identify where training will have the most impact.

What you can conclude

• An actor with a disproportionately high PII event count is a prime candidate for targeted data hygiene training.
• If PII events are evenly distributed across many actors, a broad team-wide training initiative is more appropriate than individual targeting.
• An actor with declining PII counts over time has responded positively to prior guidance.

How this chart works

Horizontal bar chart ranking actors by count of events they triggered that contain detected PII patterns. Use the date and project filters to focus on specific teams or periods.