Abstract: In a system for providing threat intelligence sharing including a plurality of edge nodes, each edge node may monitor a real-time data stream representing data being processed by the edge node. The edge node may identify a potential security threat indicated by at least a portion of the real-time data stream. In response to identifying the potential security threat, the edge may trigger an automated response action, and communicate a description of the identified potential security threat to the other edge nodes in the plurality of edge nodes.

Abstract: A system and method to detect user presence near and capacitive touch of a user at an exterior chassis housing of an information handling system that includes a hardware processor, a data storage device, and a power management unit (PMU) to provide power to the hardware processor and data storage device. The system includes an exterior chassis housing capacitive sensor to detect user proximity near or touch of on an exterior chassis housing surface of the information handling system and a perimeter capacitive sensor to detect user grip of the information handling system when a grounding source of the exterior chassis housing is removed during periodic, brief sense state time duration windows. A capacitive sensor microprocessor to periodically switch the exterior chassis housing capacitive sensor and perimeter capacitive sensor to a sense state to detect user proximity to, capacitive touch of, or grip of the exterior chassis housing.

Abstract: Systems and methods for assessing display health in response to accidents are described. In some embodiments, an Information Handling System (IHS) may include an Embedded Controller (EC) and a memory coupled to the EC, where the memory comprises program instructions that, upon execution by the EC, cause the IHS to initiate an integrated display's Built-In-Self-Test (BIST) in response to a determination that the IHS suffered an accident.

Abstract: Systems and methods for loop detecting and remediating in a firmware framework are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a controller that instantiates an orchestrator, and multiple devices coupled to the controller, wherein each device instantiates a node. The IHS may also include executable instructions to identify a plurality of communication links between the nodes, determine that at least a subset of the communication links causes a loop to be formed, and communicate with one of the nodes to block one of the communication links with an adjacent node to the one node.

Abstract: An information handling system includes a cover and a case bottom. The cover includes a first accelerometer and the case bottom includes a second accelerometer. The information handling system detects a tap event on one of the first accelerometer or the second accelerometer, determines whether the tap event is detected on the first accelerometer or the second accelerometer, and wakes the information handling system when the tap event is detected on the first accelerometer.

Abstract: Systems and methods for handling node policies in a firmware framework. In some embodiments, an Information Handling System (IHS) may include a controller, where the controller comprises firmware that, upon execution by a processing core, causes the processing core to instantiate an orchestrator; and a plurality of devices coupled to the controller, where each device comprises firmware that, upon execution by a corresponding processing core, causes the corresponding processing core to instantiate a node as part of a firmware framework, and where the orchestrator is configured to distribute a policy to at least a given node without any involvement by any Operating System (OS) of the IHS.

Abstract: Machine-learning systems and methods to predict device failures are described. In some embodiments, an Information Handling System (IHS) may include: a processor; and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: obtain a shock event notification of a second IHS; execute an Artificial Intelligence/Machine Learning (AI/ML) model; and determine, by the AI/ML model and based, at least in part, on the shock event notification, a likelihood or probability that one or more failures of the second IHS will occur. In some embodiments, the determination, by the AI/ML model, is further based, at least in part, on device model characteristics of the second IHS, device health telemetry of a plurality of other IHSs, and/or service records of a plurality of other IHSs.

Abstract: Embodiments of systems and methods are provided for controlling the enrollment status of trusted users included within a TMU database. More specifically, embodiments of systems and methods are disclosed to control the enrollment status of a trusted user enrolled within a TMU database based on time. In doing so, the disclosed systems and methods improve system security in an information handling system operated within a multi-user environment by: controlling how long a trusted user is given access to an active system session when the authenticated user walks away, and providing a way to continue or revoke the enrollment status of a trusted user for a subsequent system session based on time.

Abstract: Systems and methods for discovery in a firmware framework are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a heterogeneous computing platform with multiple devices, and a controller configured with firmware that, upon execution by a processing core, causes the processing core to receive a request from an Operating System (OS) to enter a sleep state, determine, for each of the plurality of devices, a specified sleep state level for the device, and communicate with each of the devices to place the device at the specified sleep state level.

Abstract: A system and method of providing an intent action feedback summary at an information handling system comprising a hardware processor executing computer-readable program code instructions of an artificial intelligence (AI) productivity tool software module to receive a user query input and identify a plurality of responsive capabilities associated with AI productivity tool-enablable software applications and execute a transaction software module to determine that a capability intent action responsive to one of the identified plurality of responsive capabilities requires user approval or additional user chat input.

Abstract: A system and method for operating an on the box (OTB) artificial intelligence (AI) productivity tool comprising an embedded controller executing code instructions of a platform level capability gathering module to receive a notice of functional adjustment for a hardware component communicating with the embedded controller using one of several available communication protocols and the embedded controller to transmit an updated firmware capability to the OTB AI productivity tool pursuant to the notice of functional adjustment.

Abstract: A system and method comprising a hardware processor to execute computer-readable program code instructions of a diagnostic subagent to detect damage to a first port at the information handling system via port testing and generate diagnostic port data describing the first port that is damaged among a plurality of ports at the information handling system and execute a port identification and guidance module to gather baseline port mapping data describing mapping of hardware components including the ports within the information handling system and capabilities of those hardware components and the plurality of ports. Execute the port identification and guidance module to input the diagnostic port data and baseline port mapping data into a baseline mapping-to-text machine learning (ML) to generate user-guided text, audio, or image describing which port to use in lieu of the first port that is damaged.

Abstract: An information handling system includes a hardware processor to execute computer-readable program code instructions of an information technology decision maker (ITDM) capability management system to receive assigned artificial intelligence (AI) productivity scores correlated to how executed capability intent actions at a subset of a plurality of node information handling systems in an enterprise have improved user productivity at those plurality of node information handling systems based on detected changes resource telemetry data. The ITDM capability management system to generate a ranked listing of the plurality of responsive capability intent actions based on the assigned AI productivity scores and determine an action payload comprising one or more highest AI productivity score responsive capability intent actions and propagate that action payload to each of the plurality of node information handling systems within the enterprise for implementation.

Abstract: An information handling system operating an on-the-box artificial intelligence (AI) productivity tool comprising a hardware processor executing machine readable code instructions to receive an initial application capabilities list for AI productivity tool enableable software applications at a capabilities database and receive a general issued configuration policy with alternate settings from a management server dictating controlled operational modes of the information handling system.

Abstract: An information handling system executing computer readable code instructions for an on the box artificial intelligence (AI) productivity tool may comprise a hardware processor executing computer-readable program code instructions for generating a recommendation or query intent value for a recommendation intervention action or user query input requesting a capability action to be taken by an AI productivity tool-enableable software application executing on the information handling system, performing a semantic similarity search comparing capability intent values for capability intent actions to the recommendation or query intent value to identify a best match capability for the received user query input or recommendation intervention action having a capability intent value that meets a threshold semantic similarity search score, determining that execution of the best match capability requires assistance from an information technology decision maker (ITDM) for an enterprise, and automatically generating and tra

Abstract: An information handling system managed by an enterprise management system and operating an on-the-box artificial intelligence productivity tool may comprise a hardware processor executing machine readable code instructions to generate vectorized capability intent values from natural language descriptions of capabilities including a capability-with-reboot requiring reboot to a basic input/output system (BIOS) and a vectorized query input intent value for a user query input requesting action from information handling system, compare the query input intent value to the capability intent values to identify a best match responsive capability-with-reboot for the received user query input having a capability intent value that generates a highest semantic similarity search score and requiring authorization for execution of pre-boot machine readable code instructions for the best match capability-with-reboot received from the enterprise management system, store it in a pre-boot memory partition, reboot, and execute th

Abstract: Systems and methods for thermal zone controls based on Information Handling System (IHS) posture in heterogenous computing platforms are described. In an illustrative, non-limiting embodiment, an IHS may include: a heterogeneous computing platform having a plurality of devices; and a memory coupled to the heterogeneous computing platform, where the memory comprises firmware instructions that, upon execution by at least one of the plurality of devices, causes the at least one device to operate as an orchestrator configured to: detect a change to an IHS posture; and in response to the detection, modify an Advanced Configuration and Power Interface (ACPI) thermal zone setting.

Abstract: Systems and methods for accident detection and handling are described. In some embodiments, an Information Handling System (IHS) may include an Embedded Controller (EC), and a memory coupled to, or integrated into, the EC, where the memory comprises program instructions that, upon execution by the EC, cause the EC to receive data from a sensor and, in response to the data being indicative of an accident, perform an action.

Abstract: An information handling system executing computer readable code instructions for an on the box (OTB) artificial intelligence (AI) productivity tool may comprise a hardware processor executing computer-readable code instructions to access gathered natural language descriptions of application, firmware, and hardware capabilities, receive an error indicating a software, firmware, or hardware failure or malfunction, determine, via a trained neural network of an automatic predictive capability adjustment system, an adjustment to an adjustable hardware, firmware, or software configuration associated with the error. The OTB AI productivity tool to generate a natural language description of a recommendation intervention action to perform the determined adjustment and generate an intervention recommendation input intent value for semantic similarity matching to responsive capability intent values, and execute a best match responsive capability in response to prompted user query input notification or approval.

Abstract: A system and method of executing code instructions for an artificial intelligence (AI) productivity tool software module comprising a hardware processor receiving user-query input and receiving location data describing a current location and identification of personal area network (PAN) devices at a workspace. With historic information handling system usage data, identification of the PAN devices and the user query input, the hardware processor executing code instructions of a PAN device preferences AI software application to identify a capability intent semantically matched with the user-query input, the identification of the PAN devices, and the historic information handling system usage patterns to identify a responsive capability to automatically select and operably couple the information handling system and one or more of the identified PAN devices in response to the user query input, including meeting security communication policies for the information handling system and the PAN devices.