Transactional Risk Management System for Fraud Detection

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Solution Overview

Problem

Enterprises face challenges in managing transactional risk due to increased consolidation and outsourcing of account payments, with a need for improved governance models, early warning systems, and predictive analytics to identify fraud and operational risks.

Innovation Solution

A computer-based system that assesses transactional risk by analyzing payment data using predefined risk parameters, generating reports for outliers, and allowing real-time or post-transaction processing decisions, integrated with financial institutions' online platforms for enterprise clients.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If enterprises consolidate and outsource account payments processes to shared service centers, then cost efficiency is improved, but transactional risk and fraud exposure increase

Engineering Contradiction:

Improvecost efficiencyVSAvoidtransactional risk

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary risk assessment and analysis before payments are processed by the outsourced shared service center. By pre-establishing risk parameters, payment profiles, and anomaly detection rules, the system proactively identifies potential fraud and operational risks before they materialize, enabling enterprises to maintain cost efficiency while mitigating transactional risk through advance warning and preventive measures

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements continuous feedback loops by monitoring payment transactions in real-time, comparing actual payments against established profiles and risk parameters, and generating alerts when anomalies are detected. This feedback mechanism enables the outsourced shared service center to adjust processing rules and parameters dynamically, maintaining both cost efficiency and risk control through iterative improvement based on observed transaction patterns

Inventive Principle:

Principle #23Feedback

2Device complexity

If traditional payment processing without predictive analytics is used, then system complexity is reduced, but ability to detect fraud and operational risks deteriorates

Engineering Contradiction:

Improvesystem complexityVSAvoidfraud detection capability

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The system segments the fraud detection function into distinct modular components: payment profile creation, risk parameter definition, anomaly detection engine, alert generation, and reporting modules. Each component performs a specific function independently, allowing the system to achieve sophisticated fraud detection capabilities through composition of simple, well-defined units rather than a monolithic complex system

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary risk assessment layer between traditional payment processing and fraud detection. This intermediary component analyzes transactions against established profiles and risk parameters, translating raw payment data into risk assessments and alerts without requiring direct integration between payment systems and fraud detection algorithms, thereby reducing overall system complexity while maintaining detection precision

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If real-time risk assessment for every payment transaction is implemented, then fraud detection accuracy is improved, but processing time and computational resources increase

Engineering Contradiction:

Improvefraud detection accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system applies partial risk assessment action by focusing computational resources only on transactions that exhibit anomaly characteristics or deviate from established profiles. Rather than performing full-depth analysis on every single transaction, the system efficiently screens transactions and applies intensive risk assessment only when necessary, maintaining high detection accuracy while minimizing overall processing time and computational overhead

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system dynamically changes risk assessment parameters based on transaction characteristics, entity risk profiles, and historical patterns. By adjusting the depth and intensity of analysis according to specific transaction contexts rather than applying uniform real-time assessment to all payments, the system optimizes the balance between detection accuracy and processing speed, allocating computational resources efficiently across different transaction types

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10475033B2Methods and systems for transactional risk management

Publication Date: 2019.11.12 CITIBANK N A

AI summary

Methods and systems for managing transactional risk involve, for example, receiving and assessing, using a processor coupled to memory, entity payment transaction information for a predetermined level of risk based at least in part on a payment transaction history of the entity. Likewise using the processor, a report of the predetermined level of risk may be generated, and the payment transaction may be processed for the entity according to predefined processing instructions of the entity.