TELECOMMUNICATIONS VALIDATION SYSTEM AND METHOD

    公开(公告)号:US20250039295A1

    公开(公告)日:2025-01-30

    申请号:US18913429

    申请日:2024-10-11

    Abstract: According to an embodiment of the disclosure, a toll-free telecommunications validation system determines a confidence value that an incoming phone call to an enterprises' toll-free number is originating from the station it purports to be by incorporating one or more layers of signals and data in determining said confidence value. The data and signals can include one or more call identifiers and/or toll-free call routing logs, service control point (SCP) signals and data, service data point (SDP) signals and data, dialed number information service (DNIS) signals and data, session initiation protocol (SIP) signals and data, carrier identification code (CIC) signals and data, location routing number (LRN) signals and data, jurisdiction information parameter (JIP) signals and data, charge number (CN) signals and data, billing number (BN) signals and data, and originating carrier information (such as information derived from the ANI).

    SYSTEMS AND METHODS FOR CALL FRAUD ANALYSIS USING A MACHINE-LEARNING ARCHITECTURE AND MAINTAINING CALLER ANI PRIVACY

    公开(公告)号:US20240267459A1

    公开(公告)日:2024-08-08

    申请号:US18413524

    申请日:2024-01-16

    CPC classification number: H04M3/42059 H04M3/436

    Abstract: Disclosed are systems and methods including processes executed by a server that executes software routines for machine-learning architectures that receive call-invite messages containing data from a terminating carrier. The server a caller ANI and types of call data. The server further requests data from a telephony database. The server applies and executes the software programming of the machine-learning architecture on the call data (from the terminating carrier) and the portability data (from the telephony database) to generate risk scores. The server stores the data and the risk scores into a request database, until a provider server requests the risk scores in a threat assessment request. The server returns a threat assessment message to the provider server in response to the threat assessment request. The threat assessment message includes information about the caller or caller device, and the risk scores, but not the caller ANI.

    OMNI CHANNEL AUTHENTICATION
    3.
    发明公开

    公开(公告)号:US20240064152A1

    公开(公告)日:2024-02-22

    申请号:US18235321

    申请日:2023-08-17

    CPC classification number: H04L63/123 H04L63/0861 H04L63/102

    Abstract: Embodiments include a computing device that executes software routines and/or one or more machine-learning architectures providing improved omni-channel authentication solutions. Embodiments include one or more computing devices that provide an authentication interface by which various communication channels may deposit contact or session data received via a first-channel session into a non-transitory storage medium of an authentication database for another channel to obtain and employ (e.g., verify users). This allows the customer to access an online data channel and enter the contact center through a telephony communication channel, but further allows the enterprise contact center systems to passively maintain access to various types of information about the user's identity captured from each contact channel, allowing the call center to request or capture authenticating information (e.g., voice biometrics) from both channels to employ authentication processes for one or both channels, such as voice biometrics authentication processes or other types of authentication functions.

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