Merge pull request #405 from ritza-co/19.04.04

Docs 19.04.04 release (Week 2, 2025)

docs/auto-discovery/jamf-autodiscovery.mdx

@@ -18,6 +18,10 @@ Currently, Jamf autodiscovery retrieves data on the following:
 - Installed software and applications
 - Extension attributes (Custom Fields)
 
+You can view the discovered mobile devices under the **Software In Use** tab on the details page of any of the discovered mobile devices.
+
+![Jamf mobile autodiscovery items](/assets/images/jamf-autodiscovery/jamf-mobile-discovery-sw.png)
+
 ## Requirements for Jamf autodiscovery
 
 To run a Jamf autodiscovery job, you need to set the appropriate permissions in your Jamf account and provide your Jamf username and password when creating the job.

docs/auto-discovery/network-auto-discovery.mdx

@@ -122,6 +122,10 @@ You can enter preferred community string credentials when you create an SNMP dis
 
 Click on the **+ Add another community string** button at the bottom of the **Credentials** section. Then select the secret for the community string by clicking the **magnifying glass icon**.
 
+:::note
+For successful SNMP v3 discovery, please only use one set of SNMP v3 credentials per username. Currently, entering multiple credentials with shared passwords results in only one of the credential sets being used. 
+:::
+
 <ThemedImage
   alt="Add SNMP credentials in order"
   sources={{

docs/reports/device42-doql/insightsai.mdx

@@ -164,9 +164,11 @@ Delete one or more chats by selecting them and choosing a delete option from the
 
 The following notice is available when you click **About InsightsAI** below the chat bar:
 
-InsightsAI uses publicly available Device42 field names and descriptions for training and does not expose any data residing in the internal tables or data structures that include customer-specific or proprietary data. The field names and descriptions used for training the large language model and generative AI engine are documented and can be found at https://docs.device42.com/reports/device42-doql/db-viewer-schema/.
-
-InsightsAI generates SQL query as a response to customer natural language inquiries. The inquiries are then uploaded to the InsightsAI cloud service, which generates the SQL response. InsightsAI utilizes OpenAI APIs as part of its generative AI process. The generated SQL is validated for accuracy and error free execution however the customer CMDB data is not exposed as part of the process.
+> InsightsAI uses publicly available Device42 field names and descriptions for training and does not expose any data residing in the internal tables or data structures that include customer-specific or proprietary data. The field names and descriptions used for training the large language model and generative AI engine are documented and can be found [via the] [Database Viewer Schema](https://docs.device42.com/reports/device42-doql/db-viewer-schema/).
+>
+>InsightsAI generates SQL query as a response to customer natural language inquiries. The inquiries are then uploaded to the InsightsAI cloud service, which generates the SQL response. InsightsAI utilizes OpenAI APIs as part of its generative AI process. The generated SQL is validated for accuracy and error free execution however the customer CMDB data is not exposed as part of the process.
+>
+>InsightsAI is enabled by default and can be disabled via a toggle in the admin UI which enables and disables cloud services. By using InsightsAI you consent to the processing of your data by Open AI pursuant to the Business Terms governing Open AI’s API usage by Device42 as set forth at [Business terms](https://openai.com/policies/business-terms/) (for the purposes thereof, you are “End User” and your data is “Customer Content”).
 
 :::tip
 See [Device42 Object Query Language](index.md) for information on database queries.