Data-centric protection for sensitive data across cloud and GenAI workloads
Protegrity sells data-centric security (encryption, tokenization-style protection, database and file security) to enterprises, and its job posts show the product pivoting toward GenAI: an LLM ingestion pipeline, a GenAI consumption platform and conversational assistants. A cloud-native stack of Kubernetes, Helm and Terraform across AWS, GCP and Azure, plus Snowflake, Databricks and BigQuery, points to protection built into modern data platforms. A pain point about migrating a legacy appliance-based platform confirms that shift.
Protegrity is a privately held data security company founded in 1996 and headquartered in Stamford, Connecticut, with 201–500 employees. It protects sensitive data wherever it is stored, covering database and file encryption, database activity monitoring, big data security and PCI DSS compliance. Its customers are large enterprises that need to use regulated data for analytics and customer experience without compromising privacy. Engineering runs on Python, Go, Java, Scala, Rust and C++. Commercial teams work in Salesforce Sales Cloud, Service Cloud and Salesloft. The company hires in the United States and India.
Protegrity uses Kubernetes, Docker, Helm and Terraform across AWS, GCP and Azure. Its languages include Python, Go, Java, Rust and C++, and it integrates with Snowflake, Databricks, BigQuery and Redshift.
Job posts point to an LLM ingestion pipeline for data extraction, a GenAI consumption platform, conversational assistants, policy advisors and an ontology and reasoning layer for data integration.
Protegrity hires in the United States and India, mostly senior-level engineering roles, with some openings in product, customer success, sales and support. Recent hiring velocity is minimal.
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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.