Mastercard Technologies Canada Ulc

Perry McGee

Sik Suen Chan

Randy Lukashuk

Anton Laptiev

Parin Prashant Shah

Hanhan Wu

Igor Opushnyev

Carrie Ka Lai Cheung

Andrian Sevastyanov

Yi Wei Tseng

Amiran Gigiberia

Andrew Giblin

Kenny Wan

Justine Celeste Fox

Ranjita Shankar Iyer

Sunita Khera

Mansur Mirani

Lian Jiang Fu

Cristian Frentiu

Ryan B J Crowe

Systems, methods, and non-transitory computer-readable media for authentication and authorizing a payment request. In one embodiment, the system includes a server including a first memory and a first electronic processor communicatively connected to the first memory. The first electronic processor is configured to receive the payment request, three-domain secure (3DS) data, and fast ID online (FIDO) data, output an authentication request that includes a portion of the 3DS data and a portion of the FIDO data, receive an authentication response based on the 3DS data and the FIDO data, the authentication response including one or more authentications, output the payment request based on the authentication response, and receive an authorization or a denial of the payment request.

Systems, methods, and non-transitory computer- readable media for authentication and authorization of payment request

Devices, methods, and non-transitory computer-readable media for user authentication with biometric data in conjunction with autofill assistance. In one example, an electronic computing device includes a memory including a user account and an electronic processor communicatively coupled to the memory. The electronic processor is configured to receive a request to access the user account and biometric data associated with the request, determine whether an autofill assistance occurred while the biometric data was captured, responsive to determining that the autofill assistance occurred while the biometric data was captured, identify data associated with the autofill assistance in the biometric data, generate second biometric data by excluding the data associated with the autofill assistance from the biometric data, and perform user authentication based on the second biometric data.

User authentication with biometric data in conjunction with autofill assistance

User identification with blended response from dual-layer identification service. In one embodiment, a server comprising an electronic processor configured to detect an access request by a user of a user interface device, retrieve a plurality of input profile records from an input profile record repository, perform an identification of the user with one or more passive biometrics models and the plurality of input profile records that are retrieved, generate an identification response and an additional identification request based on an outcome of the identification of the user, control the communication interface to transmit the additional identification request to the second server via the network, receive a second identification response from the second server, and generate a blended response by modifying one or more characteristics of the identification response with the second identification response, the blended response indicating the identification of the user.

User identification with blended response from dual-layer identification service

Enterprise cybersecurity systems and methods related to receiving or accessing a real-time cybersecurity request, automatically transmitting a live mode request to a first cybersecurity microservice to generate cybersecurity risk-scoring information, receiving a response to the live mode request, calculating a cybersecurity score, automatically populating cybersecurity response data based on the calculated cybersecurity score, and automatically transmitting the cybersecurity response data to the enterprise client electronic device. The enterprise cybersecurity system and method also includes, after the cybersecurity response data has been transmitted to the enterprise client electronic device, automatically transmitting a test mode request to at least one test mode cybersecurity microservice, wherein the test mode request includes real-time data extracted from the real-time cybersecurity request.

Enterprise server and method with universal bypass mechanism for automatically testing real-time computer security services

Systems, methods, devices, and computer readable media related to fraud detection. Fraud detection is achieved using a flexible scripting language and syntax that simplifies the generation of fraud detection rules. The rules are structured as conditional IF-THEN statements that include data objects referred to as Anchors and Add-Ons. The Anchors and Add-Ons used to generate the rules also correspond to a distinct data path for the retrieval data from any of a variety of data sources. The retrieval of data from the various data sources is optimized based on data dependencies within the rules. By knowing the data dependencies of each rule and utilizing parallelization of rule execution, the retrievals of data from the data sources is achieved efficiently so the rules can be executed quickly.

Optimized execution of fraud detection rules

Systems, methods, devices, and computer readable media related to fraud detection. Fraud detection is achieved using a flexible scripting language and syntax that simplifies the generation of fraud detection rules. The rules are structured as conditional IF-THEN statements that include data objects referred to as Anchors and Add-Ons. The Anchors and Add-Ons used to generate the rules also correspond to a distinct data path for the retrieval data from any of a variety of data sources. The generated rules with distinct data paths are then converted using a transpiler from the scripting language into native language source code (e.g., PHP, Java, etc.) for deployment in a particular environment. The rules are then executed in real-time in the environment to detect potential fraudulent activity.

Transpiration of fraud detection rules to native language source code

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Vancouver, Canada

Perry McGee