Data security firm Satori announced on Thursday the release of a free and open source tool designed to help organizations easily determine who has access to what data and how, enabling them to reduce the risks associated with unauthorized or over-privileged users.
The new Universal Data Permissions Scanner provides visibility into data access permissions across various data stores. It can scan databases, data lakes, data warehouses, and cloud accounts, analyzing permission models in an effort to generate a human-readable list of users and their access level to cloud storage buckets, database tables, and files.
The free tool currently supports Snowflake, Databricks, Amazon S3, Amazon Redshift, Google BigQuery and MongoDB, but new data stores can be added.
“DevOps and data engineers are often tasked with managing the security of the databases, data lakes or warehouses they operate. This usually involves setting permissions to enable users to query the data they need. However, as the number of users and use-cases increase, complexity explodes. It’s no longer humanly possible to remember who had access to what, how and why, which makes meeting security and compliance requirements impossible,” Satori explained.
“The root cause of this problem is that permissions to data are usually stored in normalized form, which is great for evaluating permissions but not so great when you want to clearly understand your permissions landscape,” it added.
Universal Data Permissions Scanner aims to address these challenges by making it easier for enterprises to view and manage data store permissions.
In addition to the open source version of Universal Data Permissions Scanner, which provides a command-line interface, Satori is offering a fully managed SaaS solution that conducts periodical scans.
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