Analytics show patterns in how sensitive data moves through your organization's applications. You see aggregate numbers, not individual texts or users.

Overview metrics

Key numbers for your selected time period:

• Total detections — How many times sensitive data was highlighted

• Critical detections — How many of those were red highlights

• Top application — Where most detections occurred

• Active users — How many people had at least one detection

Timeline

A chart shows detections per day, split by standard and critical. Look for:

• Spikes — Might indicate a busy project or something worth investigating

• Trends — Are detections increasing or decreasing over time?

• Patterns — Regular weekly cycles, end-of-month increases

Breakdowns

View detections by:

• Application — Which tools generate the most highlights?

• Data type — Mostly names? Financial data? Credentials?

• Action taken — How often do people remove, replace, mask, or ignore?

What analytics tell you

A team with many critical detections that stay unaddressed might need additional training. A team that consistently masks data before using AI tools has internalized the practice.

Analytics help you identify where practices align with policy and where they diverge. They're a management tool, not a surveillance tool.

Privacy safeguard

To prevent individual identification, analytics require at least 10 active users in a group before displaying data. Smaller teams see only organization-level numbers.