Promoting to AI Team Edition on

Preparing for AI Team Edition

Mon, 01 Jan 0001 00:00:00 +0000

Moving from AI Developer Edition to AI Team Edition represents a significant step in scaling your AI development capabilities. AI Team Edition provides enhanced collaboration features, centralized management, and enterprise-grade controls designed for teams working together on AI-powered applications.

This guide walks you through the essential preparation steps to ensure a smooth transition from AI Developer Edition to AI Team Edition.

Understanding the process

Moving to the AI Team Edition involves updating the configuration of the AI Developer Edition artifacts to use the AI Team Edition features. The following image shows the features in the editions.

Updating Data Discovery

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The applications and code uses the AI Developer Edition features. Update the endpoints to direct the applications and code to use the AI Team Edition features.

The Data Discovery classification API uses the following endpoint:

http://localhost:${CLASSIFICATION_PORT:-8580}/pty/data-discovery/v1.1/classify

Update and use the AI Team Edition endpoint for plain text unstructured data:

https://{Host Address}/pty/data-discovery/v2/classify/text

Use the following endpoint for structured tabular data:

https://{Host Address}/pty/data-discovery/v2/classify/tabular

Where, {Host Address} is the hostname of the PPC.

Updating Semantic Guardrails

Mon, 01 Jan 0001 00:00:00 +0000

The applications and code uses the AI Developer Edition features. Update the endpoints to direct the applications and code to use the AI Team Edition features.

Semantic Guardrails API uses the following endpoint:

http://localhost:${SGR_PORT:-8581}/pty/semantic-guardrail/v1.1/conversations/messages/scan

Update and use the AI Team Edition endpoint:

https://{Host Address}/pty/semantic-guardrail/v1.1/conversations/messages/scan

Where, {Host Address} is the hostname of the PPC.

Note: Ensure that the configuration for Data Discovery are updated. For more information, refer to Updating Data Discovery.

Updating Synthetic Data

Mon, 01 Jan 0001 00:00:00 +0000

The applications and code uses the AI Developer Edition features. Update the endpoints to direct the applications and code to use the AI Team Edition features.

Synthetic Data API uses the following endpoint:

http://localhost:${SYNTHETIC_DATA_PORT:-8095}/pty/synthetic-data/v1

Update and use the AI Team Edition endpoint:

https://{Host Address}/pty/synthetic-data/v1

Where, {Host Address} is the hostname of the PPC.

Updating Python Modules

Mon, 01 Jan 0001 00:00:00 +0000

Note: When the policy is set up on the AI Team Edition, ensure that the same data elements added for the AI Developer Edition are used. For more information about the data elements policy, refer to Policy Definition.
If you use different data elements while creating the policy, then modify the data elements used in the AI Developer Edition accordingly before running the modules.

Install and set up the Protegrity Provisioned Cluster (PPC) and AI Team Edition using the steps from the PPC documentation and the respective feature documentation.

Updating Java Libraries

Mon, 01 Jan 0001 00:00:00 +0000

Note: When the policy is set up on the AI Team Edition, ensure that the same data elements added for the AI Developer Edition are used. For more information about the data elements policy, refer to Policy Definition.
If you use different data elements while creating the policy, then modify the data elements used in the AI Developer Edition accordingly before running the modules.

Install and set up the Protegrity Provisioned Cluster (PPC) and AI Team Edition using the steps from the PPC documentation and the respective feature documentation.