Anomaly detection in ACH
Anomaly detection in ACH debit transactions
Anomaly detection in ACH debit transaction harness the true power of artificial intelligence by using proprietary algorithms and connectors that help in automating several steps such as pre-processing, cleansing and harmonizing originator & beneficiary names, addresses. ACH/ABA codes, and enabling fraud identification process to be nimbler and more economical. This software app identifies patterns related to the debited & originating accounts, corresponding banks, customer behavior, and geo-spatial locations.
Use Cases
Entity resolution across databases
Watch list screening, enhanced KYC & KYCC
Geo-spatial risk for SCH debit transactions
Identifying accounts that are more at risk due to fraud in ACH debit transactions
Anomalia Serves
Retail and
commercial banks
Non Banking Financial Institution
Asset Management
Firms
Investment
Banking
Credit
Unions
Anomalia®
AI-based Anomaly in ACH transactions clears all Hurdle
Anomaly detection in ACH transactions by Scry Analytics ingests data from different sources and detects fraud and is able to process tremendous amount of records of 4 million/hour.
More Detail
Anomalia has been built using
Bayesian networks
Reinforcement learning
Generic rule-based machine learning
Heuristic algorithms
Data mining
Big data integration
Big data analytics
Reverse engineering
Key Differentiators &
Business Benefits
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User Interface and APIs
Pre-built graphical user interface (GUI) & APIs for quick deployment & integration with clients’ existing workflow.
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Domain Ontologies
Pre-built financial ontologies & business rules that are dynamically updated to improve the product accuracy over time.
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Knowledge Graphs
30+ probabilistic spatial and temporal graph algorithms to determine links and connected entities.
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Call us (408)827-1078
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