Promoting to AI Team Edition

In AI Developer Edition, data requiring encryption is processed through the AI Developer Edition API Service. This is suitable for development and testing but lacks the scalability and centralized management needed for production environments. To meet enterprise requirements such as robust logging, advanced security, and modular feature deployment, promote to AI Team Edition. AI Team Edition uses Protegrity Provisioned Cluster (PPC), a Kubernetes-based framework for scalable, production-ready deployments. Unlike traditional Protegrity setups that rely on Enterprise Security Appliance (ESA), AI Team Edition simplifies architecture by using PPC for collaborative, high-performance environments without the complexity of appliance clusters.

For more information about the AI Team Edition, refer to AI Team Edition documentation.

Ensure that you unprotect the data before porting and reprotect it after the port to AI Team Edition is complete.

Key Advantages of AI Team Edition Over AI Developer Edition

The key differences between AI Developer Edition and AI Team Edition across deployment, features, security, and scalability are outlined here.

Deployment and Architecture

Team Edition is container-based and built on a microservices architecture, enabling fast deployment, simplified operations, and native integration with CI/CD pipelines. This aligns with modern DevOps practices and scales easily across environments.

Developer Edition, by contrast, is primarily API-focused and intended for prototyping and development, not production. It uses a protector model and cannot go into production environments.

Feature Set

AI Team Edition includes advanced capabilities such as:

• Data Discovery and Classification for sensitive data (PII, PCI, PHI, IP).
• Semantic Guardrails to enforce safe AI interactions.
• On-demand Anonymization and Privacy-Safe Synthetic Data generation.
• Integrated policy management and governance for compliance.

Developer Edition offers the basic features of these for developers to experiment. It lacks enterprise-grade security and compliance features.

Use Case and Audience

Team Edition is designed for small to mid-sized teams or departmental deployments that need production-ready data protection for AI and analytics workflows. It supports multiple protectors, enabling broader use cases beyond development.

Developer Edition is strictly for initial development and prototyping; it cannot be scaled for production workloads.

Security and Compliance

Team Edition embeds security directly into AI workflows, ensuring compliance without slowing innovation. It uses unique key material per customer, supports External Initialization Vectors (EIV), and enforces policy encryption over TLS.

Developer Edition uses shared key material and mock protectors, making it unsuitable for production-grade security.

Cost and Scalability

Team Edition offers a lower total cost of ownership for departmental deployments and can scale into Enterprise Edition later.

Developer Edition is free for experimentation but has no upgrade path for assets created during development; moving to Team or Enterprise requires reconfiguration.

Note: Ensure that the version number of components on Protegrity AI Team Edition is at least the same or higher than the version number on Protegrity AI Developer Edition.