Bank of America had 139 patents in cybersecurity during Q3 2023. Bank of America Corp filed several patents during Q3 2023. One patent describes a system that predicts anomalies in components, identifies system configurations, and switches workloads to cloud instances. Another patent involves assessing the resource volume of physical objects in a secure container and generating Non-Fungible Tokens (NFTs) based on digital images. Another patent focuses on detecting and preventing botnet attacks using client-specific event payloads. Another patent relates to secure user authentication using quantum keys, steganography, and random user passcodes. Lastly, there is a patent for a system that validates responses based on context information and recommends actions for memory resources. GlobalData’s report on Bank of America gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Bank of America grant share with cybersecurity as a theme is 50% in Q3 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Restoring a system by load switching to an alternative cloud instance and self healing (Patent ID: US20230273852A1)
The patent filed by Bank of America Corp. describes a system for managing anomalies in a production computing environment. The system includes a production computing environment with multiple components, a centralized data repository, multiple cloud infrastructures, and a processor. The processor receives data feeds related to the components, predicts anomalies based on the data feeds, identifies the system configuration needed to run the current workload, searches the cloud infrastructures for a compatible cloud instance, initiates the identified cloud instance, and switches the workload to the cloud instance.
The system also includes a repository of known anomalies and corrective actions. The processor can search the repository for a corrective action corresponding to the predicted anomaly and take the identified corrective action to correct the anomaly. The corrective actions vary depending on the type of anomaly, such as switching to an alternative hardware device, resetting the hardware device, applying a software patch, or notifying a system security administrator.
The processor uses quantum computing to process data in the system. Each cloud infrastructure is provided by a different cloud service provider. The processor identifies the cloud instance that can support the identified system configuration by comparing the pricing associated with each detected cloud instance and selecting the one with the lowest pricing.
The method for managing anomalies in the production computing environment follows a similar process as described in the system. It involves receiving data feeds, generating current state vectors, comparing with normal state vectors, predicting anomalies, identifying system configurations, searching cloud infrastructures, initiating cloud instances, and switching workloads.
The non-transitory computer-readable medium stores instructions for performing the method. It includes instructions for searching the repository of known anomalies, identifying corrective actions, detecting the correction of predicted anomalies, and selecting the cloud instance with the lowest pricing.
Overall, the patent describes a system and method for efficiently managing anomalies in a production computing environment by utilizing cloud infrastructures and predictive analysis. The system aims to identify and correct anomalies in a timely manner to ensure smooth operation of the computing environment.
To know more about GlobalData’s detailed insights on Bank of America, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
