Protegrity is an enterprise cybersecurity company focused on AI security and data protection. It is positioned around a data-centric security platform that protects sensitive data across analytics, AI, hybrid cloud, and SaaS environments, with centralized policy management, field-level controls, and privacy-preserving techniques.
Protegrity’s platform is designed to secure data at rest, in transit, and in use while keeping it usable for business operations, reporting, machine learning, and governed sharing. Its current market positioning emphasizes helping enterprises remove security friction from data projects by combining discovery, governance, protection, and privacy capabilities in a unified architecture that can be applied across cloud platforms, applications, databases, files, and mainframe environments.
Offerings, Capabilities, and Integrations
Protegrity’s core capability set spans sensitive-data discovery and classification, centralized policy orchestration, audit visibility, and field-level protection methods such as tokenization, encryption, masking, redaction, and anonymization. Its privacy features also extend to pseudonymization, semantic guardrails, and synthetic data generation for analytics and AI use cases.
The company supports multiple enforcement models, including embedded runtime protection, gateway-based controls, APIs, SDKs, containers, and cloud-native deployment patterns. Protegrity integrates with major cloud environments and data platforms, including AWS, Microsoft Azure, Google Cloud, Snowflake, Databricks, BigQuery, Redshift, Athena, and a range of enterprise application, database, and legacy system environments.
Products and Services
- Protegrity Data Security Platform: Flagship platform that unifies discovery, governance, protection, and privacy controls for sensitive data across AI, analytics, cloud, SaaS, application, database, file, and mainframe environments.
- Protegrity Discover: Sensitive-data discovery service that identifies and classifies data such as PII, PHI, PCI, and intellectual property across structured and unstructured sources using ML and rule-based methods.
- Enterprise Security Administrator (ESA): Centralized governance and policy-management component for defining, distributing, monitoring, and auditing field-level protection policies across hybrid, on-premises, and multi-cloud environments.
- Protegrity Cloud API: Cloud-native API service for invoking Protegrity protection methods in serverless and pipeline-based workloads, including ETL and cloud data processing scenarios.
- Cloud Protectors: Native protection layer for cloud platforms and managed services, enabling field-level controls inside environments such as Snowflake, BigQuery, Redshift, data lakes, and cloud pipelines.
- SaaS Protectors: Gateway-based protection for data moving into external SaaS platforms and partner systems, applying masking, tokenization, or redaction before sensitive data leaves internal control.
- Application Protectors: Application-embedded protection delivered through SDKs, APIs, proxies, and related interfaces so teams can secure sensitive data at the point of entry, processing, or exchange.
- Data Store Protectors: Field-level protection for databases, data warehouses, and big data environments that preserves data utility and referential integrity while securing data at rest and during query execution.
- Core System Protectors: Protection for files, batch processes, and mainframe environments that extends modern field-level controls to legacy infrastructure without requiring data offload or application replacement.
- Protegrity AI Developer Edition: Developer-focused offering with SDKs and API access for discovering and protecting sensitive data in prompts, logs, pipelines, and unstructured text during AI application development.
- Protegrity AI Team Edition: Team-oriented AI security offering for agentic workflows, analytics, and model pipelines, combining discovery, policy controls, semantic protection, and privacy features in a containerized deployment model.
- Protegrity AI Enterprise Edition: Enterprise-scale edition for standardizing AI and analytics data protection across teams, clouds, and hybrid environments with broader deployment flexibility and centralized control.
Target Customers
Protegrity targets midmarket and large enterprises that handle regulated or business-critical data and need to keep it usable for analytics, AI, application workflows, and controlled sharing. Its positioning is especially relevant for organizations operating in hybrid and multi-cloud environments or balancing cloud modernization with existing database and mainframe estates.
The company has clear relevance in highly regulated and data-intensive sectors such as financial services, insurance, healthcare, retail, travel and hospitality, and government. Its editions and deployment models also address multiple buying centers, including security leaders, data platform teams, compliance stakeholders, application teams, and developers building AI and analytics solutions on sensitive data.
Cloud Integrations and Marketplace
- AWS Marketplace: Protegrity has an AWS Marketplace presence and a formal AWS integration profile covering services such as Redshift, Athena, Glue, S3, Lambda, EKS, RDS, SageMaker, and Bedrock for governed data protection in cloud analytics and AI workloads.
- Microsoft Azure Marketplace: Protegrity is listed in Microsoft Azure Marketplace with Protegrity Data Protection for Azure and supports Azure-aligned deployment and protection patterns across services such as Synapse, Azure SQL Database, Blob Storage, and Data Factory.
- Google Cloud Marketplace: Protegrity has stated availability through Google Cloud Marketplace for its data protection platform and supports Google Cloud data environments and services including BigQuery, Google Cloud Storage, and Google Dataflow.
Key People
- Michael Howard: Chief Executive Officer
- Sameer Tiwari: Chief Technology Officer
- Amir Ameri: Chief Financial Officer
- Chris Gaebler: Chief Marketing Officer
- Terri McBride: Chief People Officer
- Saravana Krishnamurthy: Senior Vice President, Product Management
- Kate Villarreal: Vice President of Legal Affairs
Key Facts
- Headquarters: Stamford, Connecticut, United States
- Employees: Approximately 375
- Annual Revenue: $95M-$100M
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: No (privately held)
Analyst Recognitions
- Gartner: 2017 Gartner Market Guide for Data-Centric Audit and Protection – Representative Vendor.
