Risk Control Command Management System for Online Financial Platforms
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Solution Overview
Problem
Existing online financial platforms face disruptions due to malfunctioning risk-control systems, which can incorrectly identify transactions as risky, leading to unnecessary interruptions and inconvenience to customers, often requiring manual intervention for correction.
Innovation Solution
A system that monitors risk-control commands issued by the risk-control system, detects anomalies based on statistical analysis and historical data, and automatically modifies or suspends the delivery of problematic commands to prevent interruptions, allowing for real-time management and recovery without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the risk-control system monitors all transactions to identify potential risks, then transaction security is improved, but false positives increase causing unnecessary interruptions
Solution Approach 1:
The patent introduces a command management system as an intermediary between the risk-control system and the online financial platform. This mediator receives risk-control commands, analyzes them for anomalies using statistical methods, and selectively forwards or blocks commands. This resolves the contradiction by filtering out false positive commands that would otherwise interrupt normal transactions, thereby maintaining transaction security while preserving transaction throughput.
2Measurement precision
If the risk-control system implements strict risk detection policies, then risk identification accuracy is improved, but system stability deteriorates due to abnormal operations
Solution Approach 1:
The patent implements a feedback mechanism where the command management system continuously monitors the distribution and characteristics of risk-control commands, compares them against statistical thresholds, and adjusts command forwarding decisions accordingly. When abnormal patterns are detected (indicating potential system instability), the feedback loop blocks problematic commands while allowing normal operations to continue, thus maintaining system stability without compromising risk identification accuracy.
3Reliability
If the risk-control system issues commands for every suspicious transaction, then risk coverage is improved, but service disruption increases due to malfunctioning commands
Solution Approach 1:
The patent applies partial action by selectively forwarding only those risk-control commands that pass anomaly detection thresholds. Instead of blocking all commands or forwarding them indiscriminately, the system performs partial forwarding based on statistical analysis of command characteristics. This ensures comprehensive risk coverage for legitimate commands while filtering out malfunctioning commands that would disrupt service continuity.
4Measurement precision
If manual intervention is required to correct risk-control system errors, then command accuracy can be improved, but operational efficiency decreases
Solution Approach 1:
The patent implements self-service by enabling the command management system to automatically detect anomalies in risk-control commands and block problematic commands without human intervention. The system uses statistical analysis and predefined thresholds to autonomously identify and correct errors, eliminating the need for manual review and correction. This maintains high command accuracy while avoiding time losses associated with manual intervention.
Data Source
AI summary
One embodiment provides a method and system for managing risk-control commands. During operation, the system can obtain statistics associated with a plurality of risk-control commands issued by a risk-control system corresponding to a plurality of transactions on an online financial platform, and determine, based on the monitored plurality of risk-control commands, whether a subset of risk-control commands meets an anomaly condition. In response to determining that the subset of risk-control commands does not meet the anomaly condition, the system can forward the subset of risk-control commands to the online financial platform to facilitate the online financial platform in performing corresponding transactions according to the subset of risk-control command. In response to determining that the subset of risk-control commands meets the anomaly condition, the system can prevent the subset of risk-control commands from being forwarded to the online financial platform.


