AWS re:Inforce: BigID attempts to mitigate risk and automate policies for AWS cloud

by Janice Allen
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Data intelligence platform provider BigID today announced comprehensive auto-discovery and automated discovery for AWS accounts and datasets, as well as security and privacy-conscious access controls for AWS cloud infrastructure.

Because the average AWS customer has multiple accounts, the addition of the new intelligent access control feature is designed to mitigate risk and automate role-based policies across AWS, including S3, Redshift, Athena, EMR and more with extensive integrations with AWS Lake Formation and AWS Glue, the company said.

Intelligent access to streamline security with BigID

The intelligence access control feature is important because it simplifies and streamlines data security within AWS — not just finding the data at risk, but giving IT the ability to set role-based policies in AWS using intelligence from BigID, said Eran Gewurtz, Director of Product Management, Safety.

The idea is to help AWS customers automate intelligent access controls to enable and restrict access to their sensitive data, while creating business policies based on data sensitivity and context, the company said. Customers can improve their cloud data risk attitude and reduce complexity by automatically protecting risky data while applying tags and labels to their AWS data based on sensitivity and risk.

Automated discovery to search the cloud

By providing automated discovery, BigID aims to make it easier for organizations to automatically find their accounts and data and extend data protection in the cloud.

“You can’t protect what you don’t know: Automated discovery gives you an edge in finding the most vulnerable data — and accounts — in an organization,” Gewurtz said. driven insight to accelerate actionable data protection in the cloud, he said.

The new capabilities are designed to let customers automatically find sensitive data, assets, and accounts within AWS without manual processes or configurations. The features are also designed to automatically provide roles and permissions in their multi-account environments to save time and costs, and automate data scanning across multiple accounts and data sources.

“Data in the cloud can be tricky to protect: you have to know what it is, who it belongs to, where it is — plus you have to configure everything to have the right protection and access control,” Gewurtz said. are a top priority for security teams, and one of the main issues is how to protect that data.”

Available through the AWS Marketplace, organizations using AWS Control Tower can now automate the implementation of BigID. These comprehensive capabilities aim to reduce complexity, cost, and time-to-insight for organizations managing their data in AWS.

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