Tool Overview:
Protegrity

About Protegrity

Protegrity provides an enterprise data protection platform that helps organizations secure sensitive data through various protection methods including tokenization, encryption, and data masking. The platform centralizes security policy management while enabling decentralized protection across on-premises, hybrid, and multi-cloud environments. Founded over two decades ago, Protegrity has developed over 100 patents in data protection technology.

What does Protegrity do?

The platform's core functionality centers around its vaultless tokenization technology, which replaces sensitive data with non-sensitive tokens while preserving data format, length, and referential integrity. This allows organizations to maintain data utility for analytics and business operations while protecting personally identifiable information (PII), protected health information (PHI), payment card data (PCI), and intellectual property. The platform includes dynamic data masking capabilities that hide sensitive information from unauthorized users in real-time based on roles and access levels.

For data discovery, Protegrity provides tools to identify and classify sensitive data across enterprise systems. The platform integrates with existing security information and event management (SIEM) tools to provide visibility into data access patterns through audit logging and monitoring features. This helps organizations track who is accessing protected data and how it is being used.

What makes Protegrity different?

A key differentiator is Protegrity's quantum-resistant vaultless tokenization approach, which uses small codebooks instead of large token lookup tables. This design enables high performance and scalability compared to traditional vault-based tokenization methods. The platform supports Unicode-based languages and preserves data characteristics like alphabet, format and length during tokenization, allowing protected data to remain usable in downstream systems.

The platform provides native integrations with major data platforms including cloud data warehouses, databases, big data systems, and mainframes. Pre-built connectors enable organizations to protect data across technologies like Snowflake, Amazon Redshift, Oracle, DB2, and Hadoop distributions. The serverless architecture on AWS leverages Lambda for elastic scaling of protection services.

Use cases and industries

Protegrity serves organizations across regulated industries including healthcare, financial services, and retail that need to meet compliance requirements like HIPAA, PCI-DSS, GDPR and CCPA. Common use cases include protecting patient health records, securing financial data for cross-border processing, defending against ransomware through data de-identification, and enabling secure cloud migration of sensitive workloads.

For example, credit reporting agencies use the platform to generate hundreds of millions of tokens per minute for protecting consumer data. Global banks leverage it to secure data for cross-border analytics while maintaining compliance. Healthcare organizations employ the platform's dynamic masking capabilities to control access to patient information based on user roles.

The platform aims to balance security with data utility through granular protection policies at the field level. This allows organizations to apply different protection methods based on data sensitivity and intended use cases. While Protegrity provides strong security capabilities, careful implementation and maintenance are required to achieve desired outcomes.