Fraud Detection Audit Log for Rule Modification Tracking
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Solution Overview
Problem
Merchants face challenges in determining legitimate from fraudulent online transactions, with existing fraud detection systems being prone to modification errors and lacking comprehensive audit logs to track rule changes, leading to potential financial losses.
Innovation Solution
A system and method for recording and auditing modifications to fraud detection rules, associating users with these modifications, and allowing for searches within a fraud rules modification database, providing an audit log to track changes and identify responsible users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If merchants manually review each transaction to determine legitimacy, then transaction security is improved, but time consumption and resource expenditure increase significantly
Solution Approach 1:
The fraud detection system automatically evaluates transactions using predefined rules and algorithms, enabling the system to service itself without requiring manual intervention. The system independently analyzes transaction data, identifies potential fraud, and generates decisions, thereby eliminating the need for merchants to manually review each transaction while maintaining security standards.
Solution Approach 2:
The patent replaces the mechanical manual review process with an automated computer-based fraud detection system. The system uses software algorithms, data processing mechanisms, and electronic rule evaluation to substitute for human analysts physically reviewing transactions, thereby reducing time consumption while maintaining or improving detection accuracy through computational power.
2Productivity
If merchants use automated fraud detection systems, then productivity is improved, but the system becomes vulnerable to rule modifications that may introduce fraud or errors
Solution Approach 1:
The system incorporates feedback mechanisms that monitor, log, and track modifications to fraud detection rules. When rules are modified, the system records the changes, associates them with user identities, and maintains audit trails. This feedback loop enables continuous monitoring of system behavior and provides accountability, allowing the system to learn from and respond to rule changes while maintaining reliability.
Solution Approach 2:
The patent implements preliminary actions by establishing audit logging and user association mechanisms before fraud can occur. The system proactively tracks and records all rule modifications in advance, creating a preventive framework that detects and attributes changes before they can be exploited for fraudulent purposes. This preliminary monitoring action ensures reliability is maintained even as the system evolves.
3Adaptability or versatility
If fraud detection rules are made flexible and modifiable, then adaptability is improved, but the ability to detect and measure rule changes deteriorates
Solution Approach 1:
The patent introduces an intermediary audit logging system that sits between the rule modification process and the fraud detection execution. This intermediary layer captures, records, and tracks all rule changes, serving as a mediator that allows flexible rule customization while simultaneously providing comprehensive visibility into modifications. The audit log acts as an intermediate record that bridges the flexibility needed for adaptation with the need for detectability and measurement.
Data Source
AI summary
Embodiments of the invention are directed to a fraud detection system that records an audit log of modifications made by a user to a selection of fraud detection rules in a merchant profile. The audit log contains details of the modifications and the user associated with the modifications. A search can be conducted on the audit log to determine details of modifications made to a merchant profile within the fraud detection system.