Software consists of various libraries.
Whenever software is updated, the versions of the libraries also change.
Sometimes vulnerabilities are discovered in the libraries.
We need to manage the libraries and vulnerabilities at the same time.
Then, based on the server and software configuration, knowledge of how to apply patches, etc., needs to be planned.
A knowledge graph is used here.
We also need data science to analyze huge amounts of data, such as what changes were released, how they were handled, and what the results were.
All of this is accomplished using Neo4j.
Software hierarchies and knowledge graphs are Neo4j's forte.
I will explain the process with a demo.
Speakers: Koji Annoura
Format: Full Session 30-45 min
Level: Intermediate
Topics: #KnowledgeGraph, #Security, #Visualization, #Manufacturing, #Intermediate
Region: APAC
Visit https://development.neo4j.dev/nodes-2022 learn more at https://development.neo4j.dev/developer/get-started and engage at https://community.neo4j.com