Learn how Nulli, working with its clients, addresses the latest challenges faced by the modern Identity Access Management world.

The realm of access management is expanding to address the increasing number of relationships required to support consumer analytics, employee regulatory compliance, GDPR, ML, IoT and so much more. Nulli applies the power of graph databases to modeling and traversing these sophisticated relationships, allowing access management software to evaluate contextual policy decisions.

In this session, Seyed Hossein Ahmadinejad, Senior Identity and Access Management Architect with Nulli - Identity Management, will illustrate solutions supporting this expanded realm of access management. You will learn about the application of graph algorithms to model security roles, as well as the value of graphs when making access policy decisions.

Patrick Wall, Director, Product Marketing, Neo4j, will also be facilitating a Q&A with Dr. Ahmadinejad at the end of the session.

Dr. Seyed Hossein Ahmadinejad
Senior Identity and Access Management Architect, Nulli

Dr. Seyed Hossein Ahmadinejad is a Senior Identity and Access Management Architect at Nulli - Identity Management. He spent seven years of his post-secondary education on network security as well as privacy and access control in social computing platforms. At Nulli, he is leveraging his theoretical knowledge and hands-on experience to consult clients on their access control, identity management, identity provisioning and identity federation problems. Given the recent growth and popularity of platforms such as IoT, where relationships between identities is of great significance, Seyed is now working on utilizing graphs for the purpose of securing such platforms.

Patrick Wall
Director, Product Marketing, Neo4j

Patrick Wall, Director of Product Marketing at Neo4j, is an experienced marketing and sales professional within high-growth subscription and enterprise software companies in internet and cloud performance, business intelligence, analytics, data lakes and big data.


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