Visa International Service Association

Stuart Mark Williams

Marc Corbalan Vila

Chiranjeet Chetia

Navendu Misra

Durga S Kala

Juharasha Shaik

Jianhua Huang

Xiao Tian

Praveen Kumar Suresh Guggarigoudar

Nipun Agarwal

Francisco Cardona Lema

Kavish Agarwal

Anuvind Pushpak

Xuepeng Li

Andrey Masharov

Rajiv Ranjan

Ravi Rameshbhai Alagiya

Systems, methods, and computer program products may store, in a distributed cache, a rule associated with a plurality of accounts in a Real-Time Payments (RTP) network, the rule being stored in association with account data associated with the plurality of accounts; receive an account level exclusion directive associated with the account; store, in the distributed cache, the account level exclusion directive in association with the account; receive transaction data associated with a transaction in the RTP network between the account and another account; retrieve, from the distributed cache, the rule, the account level exclusion directive, and the account data associated with the account; exclude, based on the account level exclusion directive, use of the rule for processing the transaction; and process, without applying the rule, the transaction in the RTP network.

System, method, and computer program product for real-time account level rule exclusion for real-time payments

Provided are a system, method, and computer program product for network anomaly detection. The method includes receiving event data associated with a plurality of events in a computer network. The method also includes determining nested groups of the event data representing tiers of an operational hierarchy. The method further includes generating display data to show a graphical representation of the event including a plurality of nested graphical nodes and at least one spline. Each graphical node is associated with a group or a computer node, each graphical node encompasses and/or is encompassed by another graphical node, a size of each graphical node is proportional to an aggregated parameter value of events associated therewith, each spline connects at least two graphical nodes and includes a curve that passes through a common graphical node, and each spline is associated with a communication between at least two computer nodes.

System, method, and computer program product for network anomaly detection

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London, United Kingdom

Stuart Mark Williams