Data encryption and masking platform for sensitive enterprise information
Protegrity operates a data-centric security platform focused on encryption, masking, and activity monitoring across databases, data lakes, and cloud environments. The engineering-heavy hiring profile (18 roles open, mostly principal and lead level) paired with active projects around GenAI consumption platforms and CI/CD automation signals a shift from traditional database security toward real-time data protection in modern cloud and AI pipelines.
Notable leadership hires: Technical Lead
Protegrity provides encryption, masking, and database activity monitoring solutions for enterprises protecting sensitive customer and compliance-critical data. The platform operates across PostgreSQL, MySQL, SQL Server, MongoDB, and Cassandra databases, plus big-data systems like Databricks, Cloudera, and AWS EMR. Deployment spans AWS, GCP, Azure, and on-premises environments via Kubernetes and OpenShift. The company, founded in 1996 and based in Stamford, Connecticut, serves large enterprises subject to PCI DSS, privacy regulations, and data residency constraints. Current focus areas include securing GenAI consumption workflows and scaling automated testing across complex client deployments.
Core: Docker, Kubernetes, AWS, GCP, Azure. Databases: PostgreSQL, MySQL, SQL Server, MongoDB, Cassandra, DynamoDB. Big data: Databricks, Cloudera, AWS EMR, Presto, Trino. Languages: Python, Java, C#, C++, JavaScript, TypeScript. Auth: JWT, OAuth. CI/CD: Jenkins, Terraform. Testing: pytest.
End-to-end platform implementation and validation, GenAI consumption platform, CI/CD quality gates, scalable automated testing frameworks, and critical client installation optimization across complex enterprise environments.
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Protegrity's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.