Goldman Sachs Group Inc’s patent involves a computing platform that generates threat intelligence by analyzing message attachments. The platform uses a neural network and clustering algorithm to identify indicators of compromise related to potential threat campaigns, providing this information to enterprise users for display on their devices. GlobalData’s report on Goldman Sachs Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Goldman Sachs Group, Digital lending was a key innovation area identified from patents. Goldman Sachs Group's grant share as of January 2024 was 81%. Grant share is based on the ratio of number of grants to total number of patents.

Generating threat intelligence information using neural network and clustering algorithm

Source: United States Patent and Trademark Office (USPTO). Credit: The Goldman Sachs Group Inc

A recently granted patent (Publication Number: US11888895B2) discloses a computing platform designed to enhance threat identification and cybersecurity measures. The platform includes a processor, communication interface, and memory storing instructions for training a neural network using metric learning and sub-word embeddings. By inputting message attachments and generating feature representations, the platform can extract indicators of compromise through clustering algorithms, ultimately identifying potential threat campaigns. The extracted information is then relayed to an enterprise user device for display, aiding in prompt threat detection and mitigation.

Furthermore, the patent details a method for training the neural network on the computing platform, emphasizing the use of metric learning and sub-word embeddings for efficient threat identification. By clustering message attachments based on numeric representations and extracting indicators of compromise such as malicious URLs or IP addresses, the platform can effectively pinpoint potential threats. The method also involves training the neural network to differentiate between inputs with corresponding labels and those with different labels, enhancing the accuracy of threat detection. Overall, the patent highlights a sophisticated approach to cybersecurity, leveraging advanced technologies to bolster defense mechanisms and protect against evolving cyber threats.

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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.