Network Observability Using Knowledge Graphs at Commonwealth Bank Australia

The author of this text worked on advanced analytics for IT risk stability in 2020 when Commonwealth Bank Australia decided to move its digital assets from on-premises servers to the cloud. The team soon realized that payments had a complex graph structure with many interdependencies, making it difficult for humans to manage these relationships. They used Neo4j to model this graph and eventually developed a document graph system that could handle large amounts of data. This system was later expanded upon to include knowledge graphs, network graphs, and flow policies. The team also worked on cybersecurity and observability, using tools like Qualys and Iris to monitor the network. After two years of work, they are still transitioning their workloads to the cloud and are exploring ways to make their graph database more accessible to a wider range of users.

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