Data Security and Privacy for AI
Activity Monitoring for AI: See Every AI Interaction
AI adoption moved faster than anyone instrumented it — and AI usage is where sensitive data now moves. Activity Monitoring for AI records every supported AI interaction as one whole event — user, destination tool, sensitive data detected, policy outcome — and assesses it for severity, so a handful of events raise alerts instead of an event stream nobody can read. That includes Shadow AI: because the destination tool is captured on every event, unsanctioned tools are exposed the first time someone uses them — no separate discovery exercise. Built on the discovery and classification policies you already have in Mage Data.
Key Capabilities
Every relevant policy event is recorded as it happens, then assessed for severity before anyone is asked to look at it. You cannot govern AI usage you cannot see — and you cannot act on a log nobody reads.
Activity Monitoring for AI Overview
One Event Record per AI Interaction
User, destination tool, sensitive data detected, override and policy outcome captured as a single whole record at the moment the event occurs. Nothing has to be correlated back together afterwards.
Rule-Based Severity Assessment
Events are ranked against reporting rules using your existing classification policy before they reach a human — alerts for the handful that matter, trends for the rest.
Shadow AI Detection
Unsanctioned tool use surfaces automatically. The destination is captured on every event, so the inventory of what is genuinely in use is a byproduct of monitoring, not a separate discovery exercise.
Override & Violation Tracking
What the user chose to do is tracked as a first-class event. A policy that is constantly overridden is telling you something a policy that never fires cannot.
Administrator Dashboard
Violations, users, severity and platforms organized by team, tool, workflow and data type — so you fix a broken process once instead of coaching twenty people individually.
Personalized End-User Reports
Individual activity summaries built for self-correction rather than a case file. A user who learns they triggered three warnings this week usually changes what they are doing — without an admin escalation.
SIEM Integration
Events export to Splunk or QRadar, so AI activity lands with the rest of your security telemetry. One event stream — nothing instrumented twice.
Audit-Ready Evidence as It Happens
Masking events, warnings, overrides and violations recorded at the moment they occur, attributed and retained. An answer to "what is our AI usage?" — a record, not an estimate.
Runs inside your environment. Monitoring runs in your own VPC or data centre — prompts, files and AI activity are inspected and logged there, not in a vendor cloud.
See your own AI usage
Book a 30-minute demo and we will show the dashboard, Shadow AI detection and end-user reports running on a live event stream.