LivePerson has been granted a patent for a computer-implemented method that enables automatic identification and authentication of users for multichannel communications. The method involves dynamically training a machine learning algorithm to determine authentication requirements, identifying authentication challenges, and updating the communications session based on the new authentication state. GlobalData’s report on LivePerson gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on LivePerson, Speech recognition techniques was a key innovation area identified from patents. LivePerson's grant share as of February 2024 was 69%. Grant share is based on the ratio of number of grants to total number of patents.
User authentication for multichannel communications using machine learning algorithm
A recently granted patent (Publication Number: US11924205B2) outlines a computer-implemented method that involves receiving an authentication request to determine the current authentication state of a user during a communication session with an end agent. The method includes dynamically training a machine learning algorithm to predict the required level of authentication for the session based on real-time communications data. By identifying authentication challenges and updating the authentication state accordingly, the system aims to enhance security and user experience during ongoing communications sessions.
Furthermore, the patent describes additional features such as requesting identity information from the user, validating credentials through an OAuth server, and providing tokenized account identifiers for future authentication. The method also includes various authentication challenges like biometric information requests and verification of government-issued credentials. The system is designed to adapt and improve over time by updating the machine learning algorithm based on feedback from the authentication challenges encountered during the communication sessions. Overall, the patent highlights a comprehensive approach to authentication management in communication sessions, leveraging machine learning and real-time data processing to enhance security and streamline the authentication process for users and end agents.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
