Protegrity AI Developer Edition Features

The following features are available with Protegrity AI Developer Edition:

• Data Discovery: Identify sensitive data across your organization using AI-powered scanning and classification.
• Semantic Guardrails: Implement AI-driven policies to protect sensitive data while allowing for flexible access controls.
• Synthetic Data: Create realistic synthetic data for testing and development without exposing real sensitive information.
• Anonymization: Use AI techniques to anonymize or mask sensitive data while preserving its utility for analysis and development.
• Data Protection: Implement encryption and tokenization to secure sensitive data.

In AI Developer Edition, a sample file is used by the sample application, which is processed by the Data Discovery container. The containers detect sensitive data. A Python module then redacts, masks, or protects and unprotects the data. The sanitized file is saved to a configured location. For more information about the sample application, refer to Sample applications.

Use the steps provided to run the application end-to-end. If required, run the APIs and functions provided for performing specific tasks. For more information about the APIs, refer to the respective Feature APIs.

The sample applications are grouped below based on whether they require a free account registration.

No registration required

The following sample applications can be run by deploying the respective containers without any registration:

• Running Data Discovery
• Running Semantic Guardrails
• Generating synthetic data
• Anonymizing data

Free registration required

Data Protection sample applications require a free account registration. The following sample applications can be run by deploying the respective containers after registering for a free account:

• Data Protection