The latest private preview update enables AWS customers to simplify data access with complete control and automation of their sensitive data discovery and data access controls while reducing time access to commercial information
FREMONT, Calif., September 8, 2022 /PRNewswire/ — Privacera, the unified leader in data access governance founded by the creators of Apache Ranger™, today announced the availability of its private preview AWS Lake Formation integration, which provides comprehensive data governance automation and granular data access for AWS services, including Amazon S3, Amazon Redshift, and Amazon RDS. Privacera helps enterprise data teams protect sensitive data and ensure privacy across all on-premises, hybrid, and multi-cloud data sources while reducing time to insight by automating governance processes outdated manuals.
Privacera extends its support and native integration for various AWS environments with the new AWS Lake Formation integration to simplify data access governance for complex and heterogeneous data lake and data mesh environments by extending the Applying Lake Formation to third-party services such as Databricks, enabling additional use-case governance. With this new integration, organizations will be able to accelerate their migration to the cloud by leveraging Privacera to securely manage data access policies within a single governance platform across diverse on-premises data sources. and in the cloud. This will significantly reduce the effort associated with data migrations to the cloud through increased automation and consistent policy management, as well as the ability to ensure compliance through an open, consistent, and proven standard.
“Organizations operate in diverse data ecosystems, and it is becoming increasingly difficult to not only manage data from a governance perspective, but also to ensure that organizations glean timely information securely through proper access controls and automation, and that’s why Privacera exists,” said Privacera CEO. Balaji Ganesan. “As an AWS Partner, expanding our capabilities with this new integration enables us to deliver a solution that leverages the strengths of Privacera and AWS Lake Formation, helping organizations with a secure and simple approach to accessing to data while delivering business value.
The latest integration will offer users:
- A unified data governance strategy that includes your lake-forming data assets
- Application of the AWS Lake Formation policy extended to popular data analytics systems such as Databricks
- An intuitive and easy-to-use interface for creating data access policies on AWS Lake Formation
Financial services company Sun Life uses Privacera to accelerate AWS migration and unify data access governance and compliance. “Because Apache Ranger is critical to the success of our entire analytics platform, so is Privacera, as it allows us to capitalize on existing technology and deliver critical data to our analytics teams faster. analysis,” said a director of cloud infrastructure and operations at Sun Life. “Our goal was to get our data into a data lake as quickly as possible, and then apply access rules so that Sun Life’s licensed professionals could actually use the data to generate important insights. Requests that previously took three to four weeks to schedule can now be responded to in less than two days.”
For organizations interested in learning more about Privacera and AWS Lake Formation, please visit here to request a demo.
Founded in 2016 by the creators of Apache Ranger™, Privacera’s SaaS data security and governance solution Platform enables analytics teams to simplify data access, security, and privacy for data applications and analytics workloads. The Privacera platform supports compliance with regulations such as GDPR, CCPA, LGPD, and HIPAA. Privacera provides unified view and control to secure sensitive data across multiple cloud services such as AWS, Azure, Databricks, GCP, Snowflake, and Starburst. The Privacera platform is used by Fortune 500 clients in the finance, insurance, life sciences, retail, media and consumer industries, as well as government agencies to automate sensitive data discovery, hide sensitive data, and manage petabyte-scale, high-fidelity policies on-premises and in the cloud.