BigID Expands Data Protection for AWS

BigID, provider of a data intelligence platform, is introducing security and privacy aware access control for AWS Cloud infrastructure to reduce risk and automate role-based policies across AWS including S3, Redshift, Athena, EMR, and more with extended integrations.

By using BigID, AWS customers can automate intelligent access control to enable and restrict access to their sensitive data—while creating business policies based on data sensitivity and context, according to the vendor.

Customers can improve their cloud data risk posture and reduce complexity by automatically protecting high risk data, while applying tags and labels to their AWS data based on sensitivity and risk.

Additionally, BigID announced extended auto-detection and automated discovery for AWS accounts and data sets, making it easier than ever for organizations to automatically find the accounts and data they have, and extend data protection across the cloud.

Available via the AWS Marketplace, organizations leveraging  AWS Control Tower can now automate the deployment of BigID for improved visibility of data and control across their AWS environment. These expanded capabilities reduce complexity, cost, and time to insight for organizations managing their data in AWS, according to the vendor.

With these new capabilities from BigID, customers can automatically find sensitive data, assets, and accounts inside AWS without manual processes or configurations. Additionally, customers can automatically provision roles and permissions across their multi-account environments, saving time, cost, and automating data scanning across multiple accounts and data sources.

"Now more than ever, AWS customers need to drive their security strategies from the data first," said Eran Gewurtz, director of product management, security at BigID. "By integrating BigID into their environments, customers can automatically detect accounts and sensitive data,  streamline their policy management, accelerate their data classification and labeling, and reduce risk across their environment."

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