Protegrity, a global leader in data security, announced it has partnered with Google Cloud to support the upcoming release of BigQuery remote functions. First announced at Google Cloud Next ‘21 in October, BigQuery remote functions offer Google Cloud customers the ability to extend BigQuery with their own external code. With support for remote functions, Protegrity adds an additional layer of data protection, while enabling customers to deliver faster, more robust analysis through Google Cloud BigQuery.
Protegrity’s partnership with Google Cloud lays a strong foundation to deliver de-identified data sets across many Google Cloud services. In addition to its support for Google Cloud remote functions, Protegrity also announced the availability of the Cloud API for Google Cloud, a serverless API that can be used to integrate data protection into cloud services and ETL workflows, as well as the Snowflake Protector on Google Cloud.
“Through our partnership with Google Cloud, one of the foremost leaders in cloud computing and data analytics, we are enabling our mutual customers to accelerate data innovation without compromising privacy,” said Jeffrey Breen, executive vice president of product and strategy at Protegrity. “Joining forces with Google Cloud delivers a privacy-by-design approach to more customers, enhancing their ability to bring to life the value of their sensitive data, pursue secure data collaboration, and innovate through advanced analytics.“
Protegrity’s Support for BigQuery Enables Secure Analytics at Scale
BigQuery’s serverless architecture offers businesses the ability to operate at scale and speed, which allows for faster analytics over large data sets. With Protegrity’s remote functions support, customers can now securely leverage data sets that contain personally identifiable information. In combination with BigQuery’s out-of-the-box security features, Protegrity’s fine-grained data protection gives customers a high level of confidence to achieve compliance with strict data privacy regulations and internal security and risk management policies. This allows businesses to deliver faster, more robust data analysis through BigQuery, without jeopardizing privacy.
Protegrity’s vaultless tokenization uses a data de-identification methodology to protect the privacy of individuals by tokenizing personal identifiers and quasi-identifiers. Tokenizing data before it moves to the cloud delivers a “Security by Design” framework and underpins a customer’s ability to rapidly innovate new applications and analytical models while preserving privacy. Protegrity’s persistent data protection element ensures that data is protected in the case of intrusion, configuration error, or other cases of data exposure.
“As data and analytics have become increasingly important to business growth and innovation, so too has data privacy and security,” said Sudhir Hasbe, Director, Product Management, Google Cloud. “We’re excited for BigQuery remote functions to be generally available for customers and to provide even more ways to run data analysis with speed, privacy, and security in partnership with Protegrity.”