Protegrity partners with Google Cloud to accelerate secure data analysis

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Protegrity announced its partnership with Google Cloud to support the next version of BigQuery remote functions.

BigQuery Remote Functions gives Google Cloud customers the ability to extend BigQuery with their own external code. With support for remote functions, Protegrity adds an extra layer of data protection, while enabling customers to deliver faster, more robust analytics through Google Cloud BigQuery.

Protegrity’s partnership with Google Cloud establishes a solid foundation for providing anonymized datasets across many Google Cloud services. In addition to its support for remote functions of Google Cloud, Protegrity also announced the availability of Cloud API for Google Cloud, a serverless API that can be used to integrate data protection into cloud services and ETL workflow, as well as the Snowflake Protector on Google. Cloud.

“Through our partnership with Google Cloud, a leading leader in cloud computing and data analytics, we enable our joint customers to accelerate data innovation without compromising privacy,” said Jeffrey Breen. , Executive Vice President of Products and Strategy at Protegrity. “Joining forces with Google Cloud brings a privacy-by-design approach to more customers, improving their ability to bring the value of their sensitive data to life, pursue secure data collaboration, and innovate. through advanced analytics.

Protegrity support for BigQuery enables secure analytics at scale

BigQuery’s serverless architecture gives businesses the ability to operate at scale and speed, enabling faster analytics on large datasets. With support for Protegrity’s remote features, customers can now securely leverage datasets containing personally identifiable information.

Combined with BigQuery’s out-of-the-box security features, Protegrity’s fine-grained data protection provides customers with a high level of confidence to comply with stringent data privacy regulations and internal security and privacy policies. risk management. This enables companies to deliver faster, more robust data analysis through BigQuery, without compromising privacy.

Protegrity’s Vaultless Tokenization uses a data de-identification methodology to protect the privacy of individuals by tokenizing personal identifiers and quasi-IDs. Tokenizing data before it moves to the cloud provides a “security by design” framework and strengthens a customer’s ability to rapidly innovate new applications and analytical models while maintaining privacy.

The persistent data protection element of Protegrity ensures that data is protected in the event of an intrusion, misconfiguration, or other data exposure cases.

“As data and analytics have become increasingly important to business growth and innovation, so has data privacy and security,” said Sudhir Hasbe, Chief Operating Officer products, Google Cloud. “We’re excited that BigQuery’s remote capabilities are generally available to customers and provide even more ways to perform data analytics with speed, privacy, and security in partnership with Protegrity.”

Protegrity support for BigQuery remote functions will be generally available in Q1 2022.

Protegrity Cloud API and Snowflake Protector protect sensitive data

Protegrity also announced two new data protectors for Google Cloud customers, including the Cloud API, a serverless API that can be used to integrate data protection into cloud services and ETL workflows, and the Snowflake Protector on GoogleCloud.

  • Cloud APIs: Cloud API is a serverless API that allows developers to integrate data protection into custom applications and ETL workflows in the cloud. These components work on each platform’s native function as a service (FaaS) for full elastic scaling in the cloud.
  • snowflake protector: The Snowflake Protector is a purpose-built protector that seamlessly integrates with Snowflake SQL to protect or unprotect data. It’s been benchmarked at blazing speeds with elastic scaling to support the heaviest workloads.

“In today’s data economy, a company’s competitive advantage lies in its ability to harness the power of the cloud for advanced analytics,” said Matt Hutton, vice president of cloud engineering. at Protection. “With Protegrity’s advanced data protection features now available for Google Cloud, organizations can generate valuable insights faster and more securely than ever before.”

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