Lumen Technologies had eight patents in artificial intelligence during Q1 2024. Lumen Technologies Inc has filed patents for methods and systems to mitigate anomalies in network devices, improve computing services in distributed networks, control deployment of network configuration changes, automatically isolate electronic devices based on categorization, and mitigate DNS amplification attacks using threat intelligence systems and machine learning models. GlobalData’s report on Lumen Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Access deeper industry intelligence
Experience unmatched clarity with a single platform that combines unique data, AI, and human expertise.
Lumen Technologies grant share with artificial intelligence as a theme is 12% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for self-correcting network equipment (Patent ID: US20240097967A1)
The patent filed by Lumen Technologies Inc. describes a system and method for mitigating anomalies in network devices by pre-programming mitigation actions into customer premises equipment (CPE) devices. These mitigation actions can be temporary or permanent workarounds based on detected patterns of log events. Unsupervised machine learning techniques are utilized to identify new patterns of log events correlated with device anomalies or malfunctions. When a new pattern is discovered and correlated to an anomaly in a group of CPE devices, the pattern is written to the devices with instructions to implement specific mitigation actions. The CPE devices then monitor their own logs to detect the patterns and execute the necessary mitigation actions.
The method and system outlined in the patent involve receiving log event information for network devices, determining patterns of log events correlated with anomalies, selecting mitigation processes, and instructing network devices to monitor their logs for these patterns and implement the corresponding mitigation actions. The process includes string recognition for detecting matching log events, categorizing patterns based on match counts, and triggering uploads of detailed log information when necessary. Additionally, unsupervised machine learning techniques are used to identify new patterns of log events correlated with anomalies, select appropriate mitigation processes, and instruct network devices to implement these processes when the patterns are detected. Overall, the patent aims to provide an automated and proactive approach to mitigating anomalies in network devices by leveraging pre-programmed mitigation actions and machine learning algorithms to detect and address issues efficiently.
To know more about GlobalData’s detailed insights on Lumen Technologies, 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.
