Bank of America grant share with gaming as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Optimizing anomaly detection based on user clustering, outlier detection, and historical data transfer paths (Patent ID: US20240036900A1)

The patent filed by Bank of America Corp. describes a system for optimizing anomaly detection in a virtual environment. The system uses a confidence score to determine user clustering information, user outlier information, and virtual resource routing information to identify anomalies. Based on these factors, the confidence score is updated to indicate whether a user is associated with an anomaly or not. The system also controls user interactions within the virtual environment based on the confidence score, authorizing or preventing interactions with entities based on anomaly detection.

The system includes a memory to store user activities and a processor to analyze these activities to determine anomalies. The confidence score is used to categorize users into clusters and identify outliers based on their interactions in the virtual environment. Virtual resource routing information is also considered to update the confidence score. The system can increase or decrease the confidence score depending on the anomaly detection results, allowing or restricting user interactions accordingly. Overall, the system provides a comprehensive approach to anomaly detection in virtual environments and ensures appropriate user authorization based on anomaly detection results.

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