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公式動画＆関連する動画 [Building a Financial Crime Mitigation Platform with MongoDB]
Read more here → https://mdb.link/4s5NzgqE_fA-fin-mit
Check out our Fraud Detection Docs here → https://github.com/mongodb-industry-solutions/fsi-aml-fraud-detection
Financial crime is evolving rapidly in the era of AI, with synthetic identities and automated attacks occurring in seconds. Traditional, reactive fraud systems often struggle to keep up, leading to high false-positive rates and significant operational costs. This video explores a modern approach to financial crime mitigation using MongoDB’s unified data platform.
Discover how financial institutions can move from reactive to proactive by leveraging real-time event streams, vector search, and AI-assisted investigations. See a live demonstration of "ThreatSight 360" a platform designed to tackle real-time fraud detection, entity resolution, and compliance automation.
Technical highlights included in this demonstration:
Real-Time Rule Deployment: Update risk models instantly using MongoDB Change Streams without downtime.
Advanced Entity Resolution: Combining Atlas Search, Vector Search, and Rank Fusion to identify sophisticated fraud patterns.
Graph Analytics: Navigating complex relationship networks directly within the database to uncover fraud rings.
AI-Powered Investigations: Using LLMs to synthesize data into plain-language risk assessments and professional reports.
Visit the MongoDB for Developers YouTube Channel: https://www.youtube.com/@MongoDBDevelopers
00:00:00 - The Rising Cost of AI-Driven Financial Crime
00:01:32 - Modern Mitigation: MongoDB for Fraud & AML
00:02:10 - Architectural Overview: Onboarding to Detection
00:02:54 - ThreatSight 360: A Unified Anti-FinCrime Platform
00:03:34 - Real-Time Rule Deployment with Change Streams
00:04:42 - Solving Entity Resolution with Hybrid Search
00:06:17 - Uncovering Fraud Rings via Graph Traversal
00:07:06 - Accelerating Investigations with Generative AI
00:08:09 - Customer 360: Managing Flexible Data Models
00:09:32 - Behavioral Analysis & Semantic Fraud Detection
00:10:48 - Live Simulation: Catching "Unknown Unknowns"
00:12:31 - Summary: Building a Behavior-Aware Future
Visit Mongodb.com → https://mdb.link/MongoDB
Read the MongoDB Blog → https://mdb.link/Blog
Read the Developer Blog → https://mdb.link/developerblog
MongoDB for Developers YouTube Channel → https://www.youtube.com/@MongoDBDevelopers
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