Protegrity

Protegrity is a data security and privacy technology company that provides platforms and tools for protecting sensitive data across enterprise environments.

• Enterprise data protection platform for structured and unstructured data across on-premises (on-prem), cloud, and hybrid environments
• Tokenization, encryption, and anonymization capabilities for sensitive data such as payment, personal, and healthcare information (data security)
• Policy-based data access controls and masking to support privacy regulations and internal governance (data privacy and compliance)
• Integrations with databases, big data platforms, analytics tools, and cloud services for in-place data protection (data security integration)
• Data protection services and expertise for designing and operating enterprise-wide data security programs (security services)

More About Protegrity

Protegrity focuses on enterprise data security, offering technology that protects sensitive information as it is stored, processed, and shared across on-prem, cloud, and hybrid environments. Its platform is designed for organizations that handle regulated or high-risk data, including financial services, healthcare, retail, and public sector entities. The core approach is to protect data itself rather than only relying on perimeter or infrastructure security, enabling controlled use of data in analytics, applications, and workflows while limiting exposure.

The company’s offerings center on techniques such as tokenization (data security), encryption (data security), and anonymization (data privacy), which can be applied to structured datasets in databases and data warehouses as well as to semi-structured or unstructured data. Protegrity’s tokenization capabilities are used to substitute sensitive values, such as payment card numbers or personal identifiers, with non-sensitive tokens, while maintaining referential integrity for analytics and application logic. Encryption and masking features allow organizations to enforce role-based access so that only authorized users or systems can view or work with clear-text data.

Protegrity provides policy-based data protection and access controls that can be aligned with data protection regulations and internal governance policies (data privacy and compliance). Policies can define which data elements require protection, which protection methods to use, and which users, roles, or applications can de-tokenize or decrypt data. This approach supports compliance objectives related to regulations such as General Data Protection Regulation (GDPR), Payment Card Industry Data Security Standard (PCI DSS), and Health Insurance Portability and Accountability Act (HIPAA), where organizations need to limit access to identifiable data while still enabling operational and analytical use cases.

The platform integrates with enterprise data stores and processing frameworks, including relational databases, data warehouses, big data platforms, analytics tools, and cloud services (data security integration). Through connectors, SDKs, and APIs, Protegrity can protect data at the point of capture, within applications, or inside data pipelines. This enables organizations to apply consistent protection across transactional systems, batch processing, data lakes, and downstream analytics, including business intelligence and Machine Learning (ML) workloads.

Within an enterprise architecture, Protegrity is typically positioned as a data-centric security and privacy layer that works alongside identity and access management, Security Information and Event Management (SIEM), and traditional network or endpoint security tools. Its capabilities map to categories such as data security, data privacy, and compliance tooling, and data protection for cloud and hybrid environments. Organizations use Protegrity to design and operate enterprise-wide data protection programs that cover discovery of sensitive data, classification, policy design, and operational enforcement across diverse platforms.

For directory and marketplace categorization, Protegrity can be classified under data security platforms, tokenization and encryption solutions, data privacy and compliance tooling, and cloud and hybrid data protection services. Its products and services are aligned to use cases where organizations need to protect sensitive data while retaining its utility for business processes, analytics, and collaboration across distributed IT landscapes.