Data Access Enforcer (DAE) for PostgreSQL DBMS

In this video, you will learn how to dynamically safeguard data in PostgreSQL DBMS using Zero Trust policy to control CRUD operations, mask, obfuscate, segregate, and filter data. Users can only view the fields and record they have been granted access to.

Enterprises can prevent unauthorized users from viewing or manipulating records they don’t have access to by segregating and filtering out records. Additionally, organizations can use partial and full masking to obfuscate field-level data. Those who are denied access, will not be able to view the records and find the unauthorized fields masked. When permitted by policy, fields that are not masked, can be updated without overwriting masked fields.

For more information on DAE, please visit: https://dae.nextlabs.com/#/home

1:25 Use case 1: Data Filtering
3:51 Use case 2: Data Masking
5:33 Use case 3: Combination of Data Filtering and Masking
7:05 Use case 4: Updating Masked Records
8:59 Use case 5: Deleting Filtered Records

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NextLabs®, Inc. provides zero trust data-centric security software to protect business critical data and applications. Our patented dynamic authorization technology and industry leading attribute-based zero trust policy platform helps enterprises identify and protect sensitive data, monitor and control access to the data, and prevent regulatory violations – whether in the cloud or on premises. The software automates enforcement of security controls and compliance policies to enable secure information sharing across the extended enterprise. NextLabs has some of the largest global enterprises as customers and has strategic relationships with industry leaders such as SAP, Siemens, Microsoft, AWS, Accenture, Deloitte, Infosys, and IBM. For more information on NextLabs, please visit http://www.nextlabs.com.

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NextLabs is a proven industry innovator and leader with 80+ patents awarded and another 30+ pending in dynamic authorization and ABAC.
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