Consumer Protection System with Real-Time Transaction Alerts
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Solution Overview
Problem
Current systems for detecting financial crimes, such as money laundering and terrorist financing, are inadequate as they rely on human intervention and traditional methods that fail to detect activities without changes in behavior.
Innovation Solution
A computerized system and network that transforms identification information into identity codes, allowing for the detection of suspicious activities without revealing customer information, and integrates with intelligent alert systems to monitor transactions and automate the detection of potential financial crimes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional human-based detection methods are used, then operational simplicity is maintained, but detection reliability deteriorates due to human error and inefficiency
Solution Approach 1:
The patent replaces the mechanical human-based detection system with an automated computer system that uses algorithms to analyze transactions and identify suspicious activities. The system automatically processes data from multiple sources, applies detection rules, and generates alerts without human intervention, thereby improving reliability while managing complexity through automation.
Solution Approach 2:
The detection system performs self-service by automatically monitoring transactions, identifying patterns, and generating reports without requiring continuous human oversight. The system self-updates its detection algorithms and automatically responds to suspicious activities, reducing dependency on human operators while maintaining high detection reliability.
2Productivity
If automated detection systems are implemented, then detection efficiency is improved, but operational complexity increases
Solution Approach 1:
The system achieves self-service automation where the detection algorithm continuously monitors transactions, identifies patterns, and generates reports without human intervention. The system automatically updates its own detection parameters and responds to suspicious activities, maintaining high efficiency while minimizing operational complexity through autonomous operation.
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting detection thresholds and algorithm parameters based on transaction data patterns. The system adapts its detection criteria over time to optimize efficiency while maintaining operational simplicity through automated parameter tuning rather than manual reconfiguration.
3Measurement precision
If customer identification information is disclosed to detect financial crimes, then detection accuracy is improved, but information security deteriorates
Solution Approach 1:
The patent introduces an intermediary layer of analysis that processes customer identification information without disclosing it to external systems. The system uses hashed identifiers and encrypted data to match customers across transactions while maintaining information security. This intermediary processing enables accurate detection without direct exposure of sensitive customer information.
Solution Approach 2:
The system creates a copy of customer identification data in an encrypted and hashed format for analysis purposes. Instead of using the actual customer information directly, the system works with transformed copies that maintain detection accuracy while preserving information security. The original customer data remains protected while its analytical copies enable crime detection.
Data Source
AI summary
A central computer system verifies the identification information and the financial account information provided by consumers through a network of computer systems. Innovative computerized methods are used for the verification. After the verification, when a computer system on the network conducts a transaction with a consumer, the central computer system sends an alert to the consumer so that the consumer can stop the transaction in real time if the transaction is unauthorized.