“Graph-Based Access Control'' (GBAC) is a generic term that refers to the use of graphs and networked data to solve Identity and Access Control problems. You may have seen this before through the disguise of acronyms such as ReBAC (relationship-based), KBAC (knowledge-based), PBAC (policy-based), NGAC (Next-Generation), FGA (fine-grained), and even some implementations of ABAC (attribute-based). All of these terms refer to techniques that use graphs to enforce access-control for any level of coarseness.
In this session you will learn why all the latest Dynamic Authorization offerings on the market use GBAC in a way or another, and how you can successfully adopt the technique yourself. Graphs are becoming ubiquitous - one can just look at the rise of the GraphQL API model to witness their popularity first-hand. Through concrete, real-life examples we will showcase the use of graphs to solve common access problems using the same modern and future-proof techniques that you see in the current authorization market.
As a result, storing all identity data in graphs truly unlocks its full potential. Graphs are data-science and analytics enablers, and have the potential to transform the IAM practice from a cost centre to a true revenue generator. We’ll explore how this can happen for you too…
