首页|Patent Issued for Custom patching automation with machine learning integration ( USPTO 12008114)

Patent Issued for Custom patching automation with machine learning integration ( USPTO 12008114)

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Reporters obtained the following quote from the background information supplied by the inventors: “Aspects of the disclosure relate to managing server patching processes within a computing system. One or more aspects of the disclosure relat e to an intelligent patch management system capable of automatically executing, monitoring, and assessing server patching processes within a computing system. “Today, many enterprise organizations (e.g., business organizations, educational institutions, governmental entities, and the like) manage a variety distributed systems and applications that are associated with enterprise computing systems of each enterprise organization. These systems and applications are typically st ored among clusters of servers distributed between a number of geographic data c enters associated with the enterprise organization. These servers often require periodic maintenance to operate properly and, in some cases, require immediate m aintenance to resolve unexpected issues that arise during operation. Server patc hing is a process that serves to maintain and update servers of a computing syst em through manual and automatic procedures. Because of the large number of serve rs and users associated with enterprise computing systems, server patching can b e a time-consuming process that may introduce a degree of human error, leading t o potential reputational loss for the enterprise organization, as well end user dissatisfaction with the systems and applications associated with server outages . A number of systems and services attempt to manage the processes associated wi th server patching, however, they lack centralized scheduling, coordination, and implementation mechanisms, as well as the ability to intelligently analyze and learn from previous server patching processes.”

Bank of America CorporationBusinessC ybersecurityCyborgsEmerging TechnologiesFinancial CompaniesMachine Learn ingMoney Center Banks

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.2)