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Privya Raises $6 Million for Data Privacy


Privya co-founders. (Company pr pic)

Privya, an Israeli startup that offers a platform for data privacy code scanning, came out of stealth mode with a $6 million seed funding round led by Hyperwise Ventures, together with several angel investors.

Founded in 2021 by Uzy Hadad, Arthur Garmider, and David Segev, Privya provides a data privacy code scanning platform that translates the requirements of privacy related regulations such as GDPR, CPRA, etc., and compliance best practices into an automated architecture, ensuring privacy requirements are met at the initial point of development, so that bad privacy practices never make it into production.

Privya identifies data protection issues and violations early in the development process. Shifting privacy left, the company’s scanner analyzes how sensitive data is handled in code, understanding which types of data are being collected and how they are being used, stored and sent to third-party services. Privya integrates into a company’s CI/CD pipeline. The platform constructs a full mapping of each service to give complete visibility into how an application handles personal or sensitive data. It also provides a privacy management wizard, making it simple to add to an ongoing project, as well as visual features like privacy management dashboards.

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The platform flags sensitive data protection vulnerabilities (for example, when personal information is written to logs) and can confirm that data is only being used and processed for the purposes agreed in company’s privacy policies.

Privya has offices in Israel and the USA, and has early customers in diverse sectors such as finance, business services, telecoms, ecommerce and healthcare.

“There is a huge gap between the data protection officer, chief product officer and the engineering department. They have different interests, different concerns and use different terminology,” said Uzy Hadad. “FAANG companies have large privacy engineering teams, strong policies and home-grown technology to help them do data privacy, plus richness of privacy architects and privacy teams in-house to translate the legal requirements into a ticketing system and technical requirements which engineering can understand.”



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