Overview

The Shadow IT Dashboard AI Tool Usage Visibility Enhancement is designed to provide comprehensive insights into the usage of AI tools across an organization. This enhancement aims to improve the monitoring and management of AI applications, ensuring better visibility and control for administrators.

Key Features

1. AI Adoption Metrics

   • AI Adoption Rate by User/App: Displays the percentage of users who have accessed at least one AI tool.

2. Usage Frequency and Interaction Tracking

   • Extends the existing Shadow IT dashboard to include visibility into AI tools, both SaaS-based and agentic AIs.

   • Highlights usage frequency and interactions to inform admins about AI adoption levels and potential risks.

3. Risk Score Calculation

   • The system calculates risk scores based on various dimensions such as access frequency, privilege levels, data sensitivity, and anomalies.

   • These scores help administrators quickly assess the potential risks associated with AI tool usage.

   • Read more here to understand how Swif.ai calculates Shadow IT Risk Scores

4. Dashboard Enhancements

   • Most Accessed AI Tool Chart: Displays the most accessed AI tools, supporting multiple/top N tools if the API returns more than one result.

   • Real-time Data Updates: Ensures that the dashboard reflects new access data in real-time or after a refresh.

5. Integration with Existing Systems

   • Utilizes browser extensions and Google Workspace logs to detect AI tool usage.

   • Provides a unified view by merging usage data from different sources.

6. Actionable Insights

   • Aligns flagged AI tools with recommended actions such as investigating usage, blocking, or monitoring.

   • Allows users to drill down into usage data for detailed insights.

Conclusion

This enhancement aims to provide a robust framework for monitoring AI tool usage, offering actionable insights and improving the overall management of AI applications within enterprise environments.