AI Governance

AI web application usage monitoring.

The AI Governance domain provides automated, continuous metrics for how AI web applications are being used across your organization and by whom. It tracks prompt volumes, file uploads, applications in active use, and the accounts driving that activity, giving security, risk, and compliance teams an up‑to‑date view of AI behavior against acceptable use policies.

Users can quickly classify AI use across the organization, including shadow AI scenarios such as unauthenticated access to approved tools or the use of personal email accounts with sanctioned AI web applications. Security and compliance teams can use this domain to monitor AI activity, detect deviations from policy, and prioritize accounts for review, supporting Insider Risk, privacy, and DLP monitoring.

Trend data supports ongoing monitoring, threshold‑setting, and policy adherence reporting for your AI controls and governance frameworks (for example, the NIST Artificial Intelligence Risk Management Framework 1.0). By measuring and demonstrating control effectiveness over time, you simplify AI usage reporting for risk committees, auditors, and regulators.

Benefits

  • Get a clear, up‑to‑date view of every AI web application in active use across your organization.
  • Identify accounts submitting the most prompts and file uploads, and cross‑reference with alert data to prioritize risk‑based review.
  • Understand average usage patterns across your user population to quickly spot policy‑relevant outliers.
  • Track AI‑related alert volumes and drill down to the accounts responsible for driving non‑compliant behavior.
  • Monitor trends over time and measure adherence to acceptable use policies and AI governance controls.
  • Simplify AI usage reporting for risk committees, compliance teams, and auditors..

Spotlight metric

Accounts causing AI alerts

Identify high‑risk accounts driving AI Web DLP alerts.

Accounts causing AI alerts shows the number of user accounts that triggered AI Web DLP alerts in the last 30 days. This metric helps security and compliance teams identify potentially risky users, prioritize investigations, and measure adherence to DLP and acceptable use policies for AI tools.

Example connectors

Harmonic AI

MS Purview

Available metrics

Type
Name
Description
Informational
Number of prompts to AI web applications
The number of prompts to AI web applications in use within the last 30 days
Informational
Number of file uploads to AI web applications
The number of file uploads to AI web applications in use within the last 30 days
Informational
Number of AI applications in use
The number of AI applications in use within the last 30 days
Informational
Number of AI alerts
The total number of AI Web DLP alerts within the last 30 days
Informational
Accounts using AI Web applications
The number of user accounts using AI web applications within the last 30 days
Informational
Accounts causing AI alerts
The number of user accounts causing AI Web DLP alerts within the last 30 days
Diagnostic
Average number of prompts to AI web applications per user account
The average number of prompts to AI web applications per user account over the last 30 days
Diagnostic
Average number of file uploads to AI web applications per account
The average number of file uploads to AI web applications per user account over the last 30 days
Diagnostic
Prompts submitted by top 10 user accounts
The top 10 user accounts using AI web applications over the last 30 days
Diagnostic
AI alerts caused by top 10 user accounts
The top 10 user accounts causing AI alerts over the last 30 days

Infrastructure Configuration metrics

Previous page

About Panaseer

Learn more