Documentation Index

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AI Usage Dashboard

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What is AI Usage Dashboard?

Graphiant AI Usage Dashboard provides an executive-facing view that translates raw network telemetry into business-readable AI usage intelligence. It provides answers to executive(s) who is accountable for AI governance, budget, and risk. Such as:

  • Which AI platforms are employees sending company data to?

  • Which LAN segments and sites are using AI the most?

  • Are employees using unapproved AI tools (shadow AI)?

  • Is AI usage growing, and when does it peak?

Locating the AI Adoption Dashboard within the Graphiant Portal

From the Home screen, navigate to the AI Adoption Dashboard by clicking ‘AI Usage Dashboard’ under  'AI Command Center' in the sidebar.

Dashboard displaying AI Command Center and usage statistics for network performance.

This will take you to the AI Usage Dashboard.

AI usage dashboard displaying tools, users, and token statistics for analysis.

AI Usage Dashboard is divided into four sections: What, where, when, and leaderboard.

  1. The what section provides you insight into how many AI tools, users, usage (in MB) and estimated token from your network.

    Overview of AI tools detected, user statistics, and token usage in the network.

  2. The where section provides you insight into where those AI traffic is sourced from.

    Traffic data breakdown by site and department for the past day.

  3. The when section provides you an overview of the AI usage and estimated token trend over one year timeframe.

    Graphs showing AI and token usage trends over several months for analysis.

  4. The Leaderboard provides you insight on top AI users based on tokens used and average daily usage. At the bottom of the leaderboard, it also provides you insight on how many apps are approved, blocked and in shadow.

    Leaderboard displaying user activity with tokens used and average daily usage statistics.

    Statistics showing number of shadow apps, approved apps, and blocked app.

Approving, Disapproving and Blocking AI apps

Since you have visibility of AI apps usage, you can approve, disapprove and block any particular app.

Approving AI Apps

There are couple ways to approve AI apps.

Option 1: Approve from Shadow Bubble

From the bottom of the AI Usage Dashboard, click on the ‘Shadow’ bubble.

Dashboard displaying app statuses: 46 shadow apps, 5 approved, and 1 blocked.

It will take you to the AI bucket in DA dashboard.  Decide on which app you want to approve, click on the three-dot menu on the right hand side and click ‘Approve’.

Application details showing approval status and data assurance policies for various applications.

Once that AI app is approved, it will show up as ‘Approved’ under the AI Usage Dashboard

Overview of AI tools detected, user statistics, and token usage for the past day.

Option 2: Approve from the ‘Approved Apps’ Tab

From the AI Usage Dashboard, click on the ‘Approved Apps’ tab, it will take you to the ‘Approved Apps’ page, then click on ‘Add Application’

Dashboard displaying approved apps with user activity and data sent statistics.

It will open the ‘Add to Approved Apps’ window. From here, you select the app that you want to approve, then click on ‘Add to Approved’

Dropdown menu for selecting known apps with an 'Add to Approved' button highlighted.

Disapproving AI Apps

To disapproving an AI app, click on ‘Approved App’ tab under ‘AI Usage Dashboard’. Find the app that you want to disapprove it, click on the three-dots menu and click on ‘Unapprove App’.

AI usage dashboard displaying approved apps and their active user statistics.

It will prompt you for confirmation. Click on ‘Unapprove App’ to confirm.

Confirmation prompt asking to unapprove copilot.com with cancel and unapprove options.

Blocking AI Apps

To block an AI app, you can block an app from ‘Shadow’ or ‘blocked’ bubble at the bottom of the ‘AI Usage Dashboard’.  Click on the ‘Shadow’ or ‘blocked’ bubble.

Visual representation of app statuses: Shadow, Approved, and Blocked apps count.

It will take you to the ‘Application Details’ page. Find the AI app you want to block, click on the three-dots menu and click on ‘Block’.

Overview of application details, including AI applications and their flow statistics.

It will take you to ‘Block Application’ page. Click on ‘Block only this application URL’.

Configuration options for blocking specific application URLs in a network settings interface.

It will take you to the ‘Configuration’ page. You can either add the app to an existing block list or create a new one.

Configuration screen for blocking applications with server details and options to create a block list.

Option 1: Adding AI App to an Existing Block List

To add an AI app to an existing block list. Select the block list you want to add the app to, then click on ‘Block’.

Configuration screen for blocking applications with highlighted block list selection.

Option 2: Adding AI App to a New Block List

To add an AI app to a new block list, click on ‘Create New’. It opens up the ‘Create New Block List’ section. Fill in the ‘Protection Name’, select which site to block (or block ‘All Enterprise Sites’), select the lan-segment, then click on ‘Save Change’.

Configuration screen for creating a new block list with input fields and save button.

Once you click on ‘Save Change’, it closes the ‘Create New Block List’ configuration. Click on ‘Block’.

Configuration screen for blocking applications with server details and action buttons displayed.

After clicking 'Block’, It will take you to ‘Application Details’ page, under ‘Blocked’ bucket. You will see all your blocked apps here and which policy is used to block which app.

Overview of blocked applications, including policy names and risk statuses for each.