Managing inter-component complexity: Securing products with Graph databases

Join us as our friend, Ravi Krishnaswamy (https://www.linkedin.com/in/krishnaswamyravi/), presents at the Data Mining and Cyber Security Meetup!

This event is co-hosted with Data Mining and Cyber Security (https://www.meetup.com/Data-Mining-for-Cyber-Security) and Metis SF (https://www.thisismetis.com/).

Managing inter-component complexity: Securing products with Graph databases

We present real world applications of Graph databases in managing large heterogenous software products. With products using 100s of Gigabytes of components from diverse sources - ranging from internal components, external vendors and open source libraries - being able to track usage and dependencies effectively is critical in order to respond to impact of patches and security incidents. The talk will walk through a python based solution that mines dependency information from product binaries and source, populates that data into a graph database, and mashes it up with external sources of data. Example Cypher queries that solve several uses cases are presented.

About the speaker:

Ravi is the lead software architect in the Digital Engineering group at Autodesk Inc. that offers a broad portfolio of CAD products, including Web and Mobile applications. He has a passion for technology, and has implemented a wide range of solutions for products at Autodesk from database applications, to mobile graphics.

He is excited with the potential of Graph Databases and Neo4j in particular as a tool to solve problems and overcome inefficiencies that previously had no easy solution.