International Business Machines had 11 patents in regtech during Q2 2024. IBM has filed patents for methods related to securing assets digitally, facilitating abnormal document self-discovery, generating node representations in a graph, enabling transaction-risk evaluation by resource-limited devices, and determining compliance for conveying benefits using artificial intelligence models. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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International Business Machines had no grants in regtech as a theme in Q2 2024.
Recent Patents
Application: Method for digitally securing an asset (Patent ID: US20240212040A1)
The patent filed by IBM describes a computer-implemented method for automatically securing digital assets by hashing a secret preimage to produce a secret hash, locking digital collateral and loan assets with the secret hash for different predetermined periods, and pledging a digital loan repayment. The method involves automatically unlocking the collateral asset for a borrower upon receiving a pledge for the loan repayment. Additional claims detail actions such as claiming the loan asset, transmitting the secret preimage, and extending time for supplying claims on collateral assets.
The patent also covers a computer program product and system for digitally securing assets, including instructions for hashing the secret preimage, locking collateral and loan assets, pledging loan repayment, and automatically unlocking collateral assets. The system includes computer processors, storage media, and program instructions for executing the method. Further claims outline processes for claiming loan assets, transmitting preimages, extending time for claims, and providing proof of loan repayment on ledgers. Overall, the patent aims to automate and enhance the security of digital assets through a structured and efficient process.
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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.
