Identity and Access Management

Analyze data relationships in real-time to reduce system vulnerabilities and continue providing secure systems to users.

Why use graph tech?

IAM systems run on interconnected data

Employees, customers, devices, systems, applications, services and other company resources are all interconnected and have deep relationships among them.

In graphs, interconnected data is simple to model and query. Especially in comparison to the traditional relational model.

Resources and identities are dynamic and ever-changing

Hiring, switching teams or leaving organisation, new customers and partners represent real world examples where changes around access to resources need to happen fast.

Graphs allow for a flexible and easily changeable design of access management and are able to follow those changes and adapt in real-time.

Performance advantage over relational databases

When analyzing big datasets with numerous relationships, graph tech achieves higher performance than CSV files and relational databases.

More relationships means more JOINS equals slow analysis. In graphs, relationships are created the moment the data is imported, so no joining that would slow down analysis is necessary.

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Graph Technology in Identity and Access Management Systems

Learn more about the Identity and Access Management and why is graph technology ideal to check vulnerabilities and find security issues in real-time.

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Why use Memgraph?

Performant analysis that doesn't waste time

Memgraph's foundation is an in-memory storage engine built in C++. Having data always in-memory doesn't waste even a second of transferring it from the hard drive to RAM.

Unlike SQL databases, there are no JOIN operations to slow things down when mapping and processing access rights dependencies.

Run analysis on real-time changing data

Memgraph keeps up with the real-time changes of data in the system by using dynamic algorithms.  Dynamic algorithms immediately update query results upon changes in the data and provide new insights instantly.

Use dynamic Betweenness Centrality or PageRank algorithms to detect the most vulnerable or most important files.

Easily move to the graph side and visualize your data

Transfer your data to Memgraph in various ways - by importing it from CSV files using Cypher queries, with the help of Python and GQLAlchemy, or straight-up via SQL migration.

Once the data is imported, use Memgraph Lab to visualize the data model and relationships between entities. Then start analyzing the graph top-down to find vulnerabilities.

Blog Post

How to Upgrade an Antiquated Identity and Access Management System

This tutorial will show you how to upgrade your current Identity and Access Management sytem into Memgraph. It will describe the steps to transfer into the graph domain easy.

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Get started today!

Interested in finding out more but not sure where to start? Contact us and we'll be in touch to get you started!

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