Investigate fraud with Azure Cosmos DB
summary
Combines Azure Cosmos DB and Linkurious Enterprise to find loan‑fraud rings by surfacing context around one flagged client into a network of shared IPs, addresses and bank accounts that reveal synthetic identities and recycling of personal data; demo starts from one client, expands several hops and spots a bank account with unusually many connections; platform connects to Azure Cosmos DB in minutes, offers query templates using Gremlin and visualization with map and export, speeds investigations and cuts false positives, now in Azure Marketplace beta and used by large institutions.
AI-written summary · about
chapters (13)
- 0:00Intro
- 2:19Understanding context
- 3:41Why is context changing
- 5:20The good news
- 5:58Linkers Enterprise
- 7:05Key capabilities
- 8:27Combine Azure Cosmos DB and Increase Enterprise
- 10:28Demo
- 11:55Getting started
- 13:13Results
- 14:36Automating workflows
- 15:23View details query
- 21:37Why Cosmos DB
related talks
29mFighting financial crime: How Kinectify uses Azure Cosmos DB, Fabric, and Azure AI to stop money...
13mBusinesses fight friendly fraud with Ethoca Consumer Clarity on Azure Cosmos DB
02mCustomer Story: Scaling Anti-Money Laundering Compliance with Azure Cosmos DB
49mEnhanced AML fraud detection solutions with Azure Machine Learning
53mBreaking Credit Card Fraud Rings with Neo4j
27mIntegrating Azure Cosmos DB with the Azure Ecosystem
54mSay Yes to NoSQL for the .NET SQL Developer
09mInterview with Mastercard's
