Migrating to AI Team Edition

In AI Developer Edition, data requiring encryption is processed through the Protegrity server. 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, upgrade to AI Team Edition. The AI Team Edition leverages NFA (New Foundational Architecture) which is a Kubernetes-based, cloud-native framework that enables secure, scalable operations and policy enforcement. Unlike traditional setups that rely on ESA (Enterprise Security Appliance), AI Team Edition simplifies architecture by using NFA for collaborative, high-performance environments without the complexity of appliance clusters.

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

Policy migration is not supported. Data protected in AI Developer Edition cannot be unprotected with the policy in AI Team Edition.

Key Advantages of AI Team Edition Over AI Developer Edition

• 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.