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The KnowBe4 App for Sumo Logic allows you to easily integrate data from KnowBe4, a security awareness training and simulated phishing platform, into your Sumo Logic account. This App provides an overview of your organization's phishing security testing performance. It includes metrics on the total number of tests, active tests, recipient users, failed recipient users, and distribution of status.

The distribution of Phishing Security Tests by difficulty and long-running Phishing Security Tests panels offer insights into the difficulty level of the phishing tests and identify tests that have been running for an extended period. The app's Phish Prone Percentage dashboard panel helps you understand the percentage of users who are at higher risk of falling for a phishing attack.

The Geo Location of Failed Users dashboard panel provides geographic insights into where failed users are located. The Phishing Security Tests Summary and Phish Failures Summary dashboard panels provide high-level summaries of the organization's testing performance. Finally, the Top Failed Users panel identifies users who have failed multiple tests and may require additional training.

Log types

The Sumo Logic App for KnowBe4 consumes Phishing Security logs. Refer to the KnowBe4 Phishing Security Tests and Recipient Results documentation.

Sample log messages

Sample Phishing Security Tests Log
"campaign_id": 1892087,
"pst_id": 8805725,
"status": "Closed",
"name": "Mar2023_NA_SUMOs",
"groups": [
"group_id": 3552357,
"name": "Monthly Campaign - NA"
"phish_prone_percentage": 0.277,
"started_at": "2023-03-06T17:13:27.000Z",
"duration": 7,
"categories": [
"category_id": 5013,
"name": "My Templates"
"template": {
"id": 4813400,
"name": "Google Calendar",
"difficulty": 5,
"type": "USER"
"landing_page": {
"id": 183506,
"name": "Sumo Landing Page"
"scheduled_count": 625,
"delivered_count": 625,
"opened_count": 328,
"clicked_count": 171,
"replied_count": 2,
"attachment_open_count": 0,
"macro_enabled_count": 0,
"data_entered_count": 0,
"qr_code_scanned_count": 0,
"reported_count": 0,
"bounced_count": 0
Sample Recipient Results Log
"recipient_id": 1498372653,
"pst_id": 8805725,
"user": {
"id": 81394383,
"provisioning_guid": "usr-63f633eb290af6f38a075108",
"first_name": "Beata",
"last_name": "Franzone",
"email": ""
"template": {
"id": 4813400,
"name": "Google Calendar",
"difficulty": 5,
"type": "USER"
"scheduled_at": "2023-03-06T17:14:33.000Z",
"delivered_at": "2023-03-06T17:15:04.000Z",
"opened_at": "2023-03-06T20:35:41.000Z",
"clicked_at": "2023-03-06T20:35:41.000Z",
"replied_at": null,
"attachment_opened_at": null,
"macro_enabled_at": null,
"data_entered_at": null,
"qr_code_scanned": null,
"reported_at": null,
"bounced_at": null,
"ip": "",
"ip_location": "Rochester Hills, MI",
"browser": "Chrome",
"browser_version": "110",
"os": "mac"

Sample queries

Total Phishing Security Tests
_sourceCategory="knowbe4nfr" campaign_id
| json "campaign_id", "pst_id", "status", "name", "phish_prone_percentage", "started_at", "duration", "", "template.difficulty", "scheduled_count", "delivered_count", "opened_count", "clicked_count", "replied_count", "attachment_open_count", "macro_enabled_count", "data_entered_count", "qr_code_scanned_count", "reported_count", "bounced_count" as campaign_id, pst_id, status, name, phish_prone_percentage, started_at, duration, template_name, template_difficulty, scheduled_count, delivered_count, opened_count, clicked_count, replied_count, attachment_open_count, macro_enabled_count, data_entered_count, qr_code_scanned_count, reported_count, bounced_count nodrop
| first(status) as status group by pst_id, name
| where status matches "{{status}}"
| count_distinct(pst_id)
Total Recipient User
_sourceCategory="knowbe4nfr" recipient_id
| json "recipient_id", "pst_id", "user.first_name", "user.last_name", "", "scheduled_at", "delivered_at", "opened_at", "clicked_at", "replied_at", "attachment_opened_at", "macro_enabled_at", "data_entered_at", "qr_code_scanned", "reported_at", "bounced_at", "ip", "ip_location", "browser", "browser_version", "os" as recipient_id, pst_id, first_name, last_name,
email, scheduled_at, delivered_at, opened_at, clicked_at, replied_at, attachment_opened_at, macro_enabled_at, data_entered_at, qr_code_scanned, reported_at, bounced_at, ip, ip_location, browser, browser_version, os nodrop
| where ip_location matches "{{user_location}}"
| count_distinct(recipient_id)

Installing the KnowBe4 App

Before you begin, collect logs from KnowBe4 and ingest them into Sumo Logic. Refer to the KnowBe4 Cloud-to-Cloud Integration to create the source and use the same source category while installing the app.

To install the app:

  1. Select App Catalog.
  2. In the 🔎 Search Apps field, run a search for your desired app, then select it.
  3. Click Install App.

    Sometimes this button says Add Integration.

  4. On the next configuration page, under Select Data Source for your App, complete the following fields:
    • Data Source. Select one of the following options:
      • Choose Source Category and select a source category from the list; or
      • Choose Enter a Custom Data Filter, and enter a custom source category beginning with an underscore. For example, _sourceCategory=MyCategory.
    • Folder Name. You can retain the existing name or enter a custom name of your choice for the app.
    • All Folders (optional). The default location is the Personal folder in your Library. If desired, you can choose a different location and/or click New Folder to add it to a new folder.
  5. Click Next.
  6. Look for the dialog confirming that your app was installed successfully.


Once your app is installed, it will appear in your Personal folder or the folder that you specified. From here, you can share it with other users in your organization. Dashboard panels will automatically start to fill with data matching the time range query received since you created the panel. Results won't be available immediately, but within about 20 minutes, you'll see completed graphs and maps.

Viewing KnowBe4 Dashboards​

All dashboards have a set of filters that you can apply to the entire dashboard, as shown in the following example. Click the funnel icon in the top dashboard menu bar to display a scrollable list of filters that are applied across the entire dashboard.

You can use filters to drill down and examine the data on a granular level.

Each panel has a set of filters that are applied to the results for that panel only, as shown in the following example. Click the funnel icon in the top panel menu bar to display a list of panel-specific filters.

KnowBe4 - Overview

KnowBe4 - Overview provides an overview of phishing security tests. It provides insights into the test results, including the total number of tests, active tests, and recipient users. Additionally, the dashboard displays the distribution of test status, the level of difficulty of the tests, and the phish-prone percentage. The dashboard also includes a summary of the phishing security tests and failures, as well as the top failed users and their geo-locations. These insights can help organizations identify areas that require further attention and improve their overall security posture against phishing attacks.

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