Identity Aware Security for Data: SQL and JSON | Pre and Post Data Masking & Filtering for Data Access Control

Traditionally, authorization has been handled within individual, homegrown applications, an approach that lacks scalability and security. Siloed controls and disparate rules create challenges in enforcing consistent authorization, complicating data security and compliance as data usage expands. Learn how PlainID solves these issues by centralizing authorization through the PlainID Authorization Platform and PlainID Authorizers for SQLl statements and JSON objects. PlainID’s Mickey Martin, VP of Engineering, along with Vladi Berger, VP of Solutions Engineering, will walk us through how our approach enforces tailored controls on data objects, whether they be rows and columns or objects and keys. Moving across microservices, APIs, and end applications data takes many forms and requires multiple ways to ensure consistent security of your digital assets. Key Highlights: - Central Policy Management - Manage Policies that connect user identities to the digital assets they require access for that can be enforced by prefiltering, changing of SQL statements in application or microservice memory, and post filtering, redaction and of objects and keys in REST responses. - Coarse and Fine-Grained Authorization - Enforce fine-grained controls at a granular level by determining what objects/rows are exposed to a user and how those columns and keys should be viewed, such as applying masking. - Low/No-Code Integration - Easy to call Microservice that returns a fully authorized JSON object or a fully authorized sql statement depending on your integration needs. Both can be paired with other technologies to provide no-code solutions to your data access problems. - Consistent Data Control - Employs REST APIs to extend robust access control consistently across data, applications, and microservices.