Abstract: Disclosed methods and systems consume vulnerability information from one or more security services associated with an information handling system. Based at least in part on the vulnerability information, a vulnerability status of the information handling system and/or an application running on the information handling system is determined. A vulnerability mitigation policy corresponding to the vulnerability status is determined and the vulnerability mitigation policy is then enforced while the vulnerability status persists. Enforcing the vulnerability mitigation policy may include restricting functionality of the information handling system, restricting execution of the application, or both.

Abstract: An information handling system may include a processor and a management controller electrically coupled to the processor and configured to provide out-of-band management facilities for management of the information handling system, the management controller further configured to in response to one or more heartbeat synchronization signals received from a software service of the information handling system, wherein each of the one or more heartbeat synchronization signals is associated with an item of software stored on the information handling system, determine if any critical software is missing from the information handling system, and for each item of missing critical software, cause a service operating system of the information handling system to stage installation of a restore image of such item.

Abstract: An information handling system may include a processor and a management controller electrically coupled to the processor and configured to provide out-of-band management facilities for management of the information handling system, the management controller further configured to in response to one or more heartbeat synchronization signals received from a software service of the information handling system, wherein each of the one or more heartbeat synchronization signals is associated with an item of software stored on the information handling system, determine if any critical software is missing from the information handling system, and for each item of missing critical software, cause a service operating system of the information handling system to stage installation of a restore image of such item.

Abstract: Systems and methods may be implemented to prevent application crashes by correlating a history of operating system (OS) updates with occurrence of past client application crashes using information that is crowd-sourced from multiple information handling systems so that action/s may be taken to prevent occurrence of future client application crashes on the information handling system/s. Machine learning (e.g., deep learning) may be employed to automatically correlate the history of OS updates with a record of past client application crashes that have occurred on multiple client information handling systems, and then the likely root cause/s for the client application crashes identified based on this correlation. These likely root cause/s may be corrected or otherwise addressed, e.g., by further investigation into the details of the root cause, and/or user or automatic system action to remove or block the root cause.

Abstract: Systems and methods may be implemented to prevent application crashes by correlating a history of operating system (OS) updates with occurrence of past client application crashes using information that is crowd-sourced from multiple information handling systems so that action/s may be taken to prevent occurrence of future client application crashes on the information handling system/s. Machine learning (e.g., deep learning) may be employed to automatically correlate the history of OS updates with a record of past client application crashes that have occurred on multiple client information handling systems, and then the likely root cause/s for the client application crashes identified based on this correlation. These likely root cause/s may be corrected or otherwise addressed, e.g., by further investigation into the details of the root cause, and/or user or automatic system action to remove or block the root cause.