Exposure trends, not message logs.
The analytics dashboard shows which apps carry the most risk, which data types surface most, and whether handled rates are climbing, without recording what people typed.
Analytics
Detection activity across your organisation.
Four numbers that drive the weekly review.
Total detections, critical count, active seats, and handled rate. Together they show whether your privacy posture is on the right trajectory.
- · Critical detections surface the highest-risk exposures first.
- · Handled rate rises as employees build the habit.
- · Seat utilisation keeps licence counts accurate.
Which tools are generating the most exposure?
Apps are ranked by detection volume and broken down by critical count. The trend chart shows whether the handled rate is climbing week on week.
- · AI assistants typically rank first, by a wide margin.
- · Filter by date range to spot seasonal spikes.
- · Drill into any app to see its entity-type breakdown.
Discover which AI tools the team is actually using.
When an employee uses an uncatalogued app, BeeSensible surfaces it automatically. No agent, no browser log. Just the apps where real data appeared.
Shadow AI, surfaced
Find out which AI tools the team is actually using.
When BeeSensible detects a prompt in a new app, the dashboard adds it automatically. No agent rollout, no log collection. Just the apps where sensitive data appeared.
No proxy, no rerouting
Coverage without network changes.
Detection runs in the browser. No traffic inspection, no MX records. Text is processed in working memory and discarded. Only aggregate counts reach the dashboard.
Role-based access
Privacy ops see what they need, nothing more.
Admins keep full write access. Privacy and compliance teams get a read-only view of aggregate counts. No one reviews individual messages.
Built for the privacy team's weekly review.
Exposure by app
See which tools carry the most risk.
ChatGPT, Gmail, Slack: the dashboard ranks every covered app by detection volume and critical count so you know where to tighten profiles first.
Trend over time
Track whether awareness is improving.
The handled-rate chart shows month-on-month progress. Rising curves mean training is landing; flat curves mean a profile needs tuning.
Entity breakdown
Know which data types surface most.
Email addresses, IBANs, names, ranked by frequency. Use the breakdown to decide which entity types warrant a stricter profile.
Export & integrate
Take the data wherever you review it.
Export any date range as CSV. Pipe detection events to your SIEM via webhook so findings live alongside the rest of your security posture.
See where your organisation's sensitive data is going.
Set up detection profiles in the admin dashboard, then come back to analytics to measure whether they're working.