ACH Screening System with False Positive Database
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Solution Overview
Problem
Current systems lack an efficient method to screen high volumes of financial transactions for criminal and fraudulent activity within the ACH network, leading to a high rate of false positives and unnecessary suspensions or investigations.
Innovation Solution
A system and method for screening ACH items using an interdiction list, coupled with a false positives database, to determine if customers are prohibited from conducting transactions, and associating indicators with screened items to facilitate accurate processing and minimize false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If screening is applied to high volume ACH transactions to identify criminal and fraudulent activity, then security and detection capability are improved, but false positives increase causing unnecessary suspensions and investigations
Solution Approach 1:
The screening process is divided into multiple stages: initial screening against the interdiction list, secondary screening using false positives database, and tertiary manual review. This segmentation allows the system to filter out obvious threats quickly while applying more sophisticated filtering to reduce false positives, thereby improving both detection capability and precision
Solution Approach 2:
A false positives database is introduced as an intermediary layer between the initial screening and final decision-making. This database contains information about entities that have been incorrectly flagged in the past, allowing the system to automatically clear certain transactions and reduce false positives without compromising security
2Measurement precision
If comprehensive screening of all ACH items is conducted against interdiction lists, then detection accuracy is improved, but processing time and system complexity increase
Solution Approach 1:
The system performs preliminary screening by comparing transaction parties against the interdiction list before full processing. This preliminary action identifies high-risk transactions that require detailed examination while allowing low-risk transactions to proceed with minimal delay, thus maintaining high accuracy without proportionally increasing processing time for all transactions
Solution Approach 2:
The system applies full screening rigor only to transactions that trigger alerts or match potential patterns of interest, while applying streamlined screening to the majority of transactions. This partial application of comprehensive screening maintains detection accuracy for suspicious transactions while minimizing time loss for legitimate high-volume transactions
3Reliability
If false positives database is used to reduce screening errors, then screening reliability is improved, but device complexity and data management requirements increase
Solution Approach 1:
The false positives database is designed to be automatically updated and maintained through the screening process itself. When transactions are reviewed and确定为 false positives, the system automatically adds these cases to the database for future reference, eliminating the need for manual data entry and reducing ongoing administrative complexity while continuously improving reliability
Data Source
AI summary
Efficiently screening ACH items and providing an indicator of the screening result. Electronic files, which can be in the NACHA file format, comprise ACH items. A gateway operator or an originating financial institution can screen each ACH item using a screening software module. For each ACH item, an indicator associated with the screening can be inserted into the ACH file before the ACH item is forwarded to a receiving financial institution. The indicator can identify whether the screening produced a match against an interdiction list and/or whether the screening produced a false positive. If the screening produced a match, processing of the ACH item can be suspended, and the ACH item can be returned to the originating financial institution. Notification of the match can be transmitted to the originating financial institution, the receiving financial institution, and/or law enforcement authorities.