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GraphTalk: Financial Fraud- Virtual
Join our Virtual GraphTalk on Financial Fraud streaming live from Singapore. Banks and insurance companies lose billions of dollars every year to fraud. From first-party bank fraud and synthetic identities, to staged accidents and inflated insurance claims, fraudsters are becoming increasingly sophisticated—often operating in coordinated rings that traditional systems struggle to catch. To outpace these evolving threats, financial institutions must go beyond surface-level data checks and uncover the hidden connections between people, accounts, devices, claims, and transactions. Graph databases make this possible—revealing patterns and suspicious links in real time that would otherwise remain invisible.
Why join:
- Understand Graph Databases Learn the fundamentals of graph databases and how they differ from traditional systems. Discover why graphs excel at detecting fraud by analyzing connections across accounts, claims, and identities.
- Uncover Hidden Fraud Rings See how graph technology exposes collusion, synthetic identities, and staged events by tracing shared identifiers such as phone numbers, addresses, or participants across multiple claims and accounts.
- Strengthen Fraud Prevention Strategies Explore how financial institutions use graph analysis to reduce false positives, improve real-time detection, and integrate seamlessly with existing fraud detection infrastructure.
- Expert Insights Hear from Neo4j experts on real-world applications of graph databases in combating bank and insurance fraud.