The Overview page gives security teams and admins a findings-driven view of AI usage across your organization. It surfaces risky AI apps, MCP servers, agents, and models as findings, so you can see what needs attention first, trace each finding to the users and assets involved, and send findings to your ticketing system for follow-up.
Use the page to monitor AI adoption trends, spot spikes in unsanctioned usage, and decide where to focus your investigation.
Understanding Findings
An AI asset is any AI app, MCP server, agent, or model that Netskope discovers in your organization. A finding is the result of Netskope evaluating a rule against an AI asset. When the conditions of a rule are met, Netskope records a finding on that asset. For example, if a rule checks for usage of unsanctioned AI apps, Netskope records a finding on every AI app that is unsanctioned and shows usage. The Overview page organizes everything around these findings.
Each finding has a severity level of critical, high, medium, or low. A rule sets the initial severity the first time it evaluates an asset. On later evaluations, a rule can raise the severity, for example from high to critical, when its escalation conditions are met.
Selecting a Time Range
Use the time range filter to set the period for the trend line and the traffic data on the page. The available options are:
- Last 24 hours
- Last 7 days
- Last 14 days
Viewing the Findings Trend
The trend line at the top of the page shows how findings change over the selected time range. Use it to spot a spike, for example a rise in findings caused by unsanctioned usage, and to confirm that a fix reduces the number of findings over time.
Related Information
The following articles provide more detail on the assets you see on the Overview page.