Compatible Features
The various features compatible with Protegrity AI Team Edition are provided here.
* - Available for purchase as an add-on. Can be installed as an individual product.
| Feature | Description | Version for Team Edition |
|---|---|---|
| Anonymization | Apply statistical privacy models such as k-anonymity, l-diversity, and t-closeness to sensitive datasets. | 2.0.1 |
| Data Discovery | Automatically identify structured and unstructured sensitive data through pattern matching and machine learning classification. | 2.0.0 |
| Policy Manager | Define and manage data protection policies that govern tokenization, masking, and anonymization. | 1.12 |
| Protegrity Agent | Intelligent assistant for automated policy creation, data classification recommendations, and guided configuration of protection workflows. | 1.1.0 |
| Semantic Guardrails | Apply contextual and runtime safeguards to AI and analytics workflows to prevent data leakage or misuse. | 1.1.1 |
| Synthetic Data | Generate tabular synthetic datasets for development, testing, and AI model validation without exposing real sensitive data. | 2.1.0 |
Protegrity Protectors
Protegrity AI Team Edition protectors enable organizations to embed data protection directly where data is processed, inside applications, analytics engines, or cloud-native data systems. The protectors use the Workbench for obtaining the policy for processing. The Protegrity Agent is available for creating and working with policies in the Workbench.
Cloud API
The Cloud API protector extends Protegrity protection to AWS serverless and API-based workloads. It is typically used for securing transient data handled by AWS Lambda or similar function-based architectures.
| Name | Description | Part Number |
|---|---|---|
| CloudProtect – Cloud API – AWS | Protegrity CloudProtect using AWS Serverless Functions. | CP_SVRL-ALL-64_x86-64_AWS.API_4.0 |
Application Protectors
Application protectors provide data protection directly within applications or runtime containers. They are suitable for teams developing secure APIs or microservices that handle sensitive data in languages such as Java, Python, or .NET.
| Name | Description | Part Number |
|---|---|---|
| Application Protector – Java Container | Protects data within Java-based containers, such as OpenShift, AKS, and EKS. | ApplicationProtector_RHUBI-9-64_x86-64_Generic.K8S.JRE-1.8_10.1 |
| Application Protector – REST Container | Provides REST-based protection services for containerized workloads. | REST_RHUBI-9-64_x86-64_K8S_10.1 |
| Application Protector – Python (Linux AMD64) | Protegrity Application Protector for Python environments on Linux AMD64. | ApplicationProtector_Linux-ALL-64_x86-64_PY-3.13_10.0 |
| Application Protector – Python (Linux ARM64) | Protegrity Application Protector for Python environments on Linux ARM64. | ApplicationProtector_Linux-ALL-64_arm64_PY-3.13_10.0 |
| Application Protector – Java (Linux AMD64) | Standard Java runtime protector for Linux AMD64 environments. | ApplicationProtector_Linux-ALL-64_x86-64_JRE-1.8-64_10.1 |
| Application Protector – Java (Linux ARM64) | Standard Java runtime protector for Linux ARM64 environments. | ApplicationProtector_Linux-ALL-64_arm64_JRE-1.8-64_10.0 |
| Application Protector – .NET | Protegrity Application Protector for Microsoft .NET applications. | ApplicationProtector_WIN-ALL-64_x86-64_NET-STD-2.0-64_10.0 |
Repository Protectors
Repository protectors allow you to apply data protection directly within persistent data stores, enabling sensitive data to remain protected at rest while still being used for analytics and AI workloads.
These protectors consist of Big Data Protectors for Amazon EMR, Databricks, and CDP Data Hub and Cloud-Native Data Warehouse protectors for analytics environments such as Snowflake, Redshift, and Athena.
| Name | Description | Part Number |
|---|---|---|
| AWS Protectors: | ||
| Big Data Protector – Amazon EMR | Provides data protection within Amazon EMR clusters. | BigDataProtector_Linux-ALL-64_x86-64_EMR-7.9-64_10.0 |
| Big Data Protector – AWS Databricks | Enables tokenization and masking for Databricks on AWS. | BigDataProtector_Linux-ALL-64_x86-64_AWS.Databricks-17.3-64_10.0 |
| Big Data Protector – AWS Databricks (Linux ARM64) | Enables tokenization and masking for Databricks on AWS on ARM64. | BigDataProtector_Linux-ALL-64_ARM64_AWS.Databricks-17.3-64_10.0 |
| Big Data Protector – CDP Data Hub | Supports Cloudera DataWorks Platform deployments on AWS. | BigDataProtector_Linux-ALL-64_x86-64_AWS.Generic.CDP-Datahub-7.3-64_10.0 |
| Cloud Native Data Warehouse Protector – Snowflake | Integrates with Snowflake for secure, compliant analytics on AWS. | CP_SVRL-ALL-64_x86-64_AWS.Snowflake_4.0 |
| Cloud Native Data Warehouse Protector – Redshift | Provides protection for Amazon Redshift queries and transformations. | CP_SVRL-ALL-64_x86-64_AWS.Redshift_4.0 |
| Cloud Native Data Warehouse Protector – Athena | Applies protection to Amazon Athena query execution. | CP_SVRL-ALL-64_x86-64_AWS.Athena_4.0 |
| Cloud Storage Protector – Amazon S3 | Applies protection for Amazon S3. | CSP-S3_SVRL-ALL-64_x86-64_AWS.S3_2.0 |
| Azure Protectors: | ||
| Big Data Protector – Azure Databricks | Enables tokenization and masking for Databricks on Azure. | BigDataProtector_Linux-ALL-64_x86-64_Azure.Databricks-17.3-64_10.0 |
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