Monitoring via the AI Users Page

The AI Users page provides centralized visibility into how users in your organization interact with AI applications. It helps you identify usage patterns, detect policy violations, and understand AI adoption across departments.

From this page, you can:

  • Identify users with elevated policy violations

  • Compare AI usage across departments

  • Focus follow-up actions where needed

Drilling Down into a Specific User

From the AI Users page, you can drill down into an individual user to gain deeper insight into their AI activity. The user details page provides a consolidated view of:

  • Total AI interactions and violations for the selected time range

  • A visual breakdown of safe prompts versus violations

  • The AI applications used by the user

  • Adoption patterns over time

This view allows you to move from high-level monitoring to targeted analysis of a specific user’s behavior.

Use Case - Identifying Users Who Require Additional Awareness Training

As a security admin for Company ABC, you regularly monitor AI usage across the organization. You navigate to the AI Users page and sort by Policy Violations to quickly identify users generating repeated violations. You notice that John Doe appears near the top of the list. To understand the situation, you open the User Details pane for John Doe. From this page, you see:

  • His ratio of safe prompts to violations

  • The AI applications he most frequently uses

Next, you navigate to the AI Interactions page and filter for John Doe. There, you review the specific prompts that triggered violations and understand the context behind them.

Based on this information, you can have an informed discussion with John Doe and provide targeted education about proper AI usage and how Company ABC expects employees to use AI securely and responsibly.

Use Case - Supporting Compliance and Auditing Requirements

Company ABC is a financial institution required to demonstrate that AI usage is monitored, controlled, and aligned with regulatory and fiduciary obligations.

As part of an internal audit review, the security admin navigates to the AI Users page and sorts the table by Department to focus on the Loan Approvals department, a high-risk business unit that regularly handles sensitive financial data. Reviewing usage across the department, the admin notices that Jane Doe has a high volume of AI interactions.

To ensure compliance standards are being upheld, the admin drills down into Jane Doe’s User Details page. Here, the admin confirms a strong ratio of safe prompts to violations and no recurring or systematic policy violations.

Although Jane Doe frequently uses AI tools, the data shows that her prompts remain within policy boundaries and do not expose sensitive financial information.

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