Abstract: Various embodiments of the present invention disclose techniques for optimizing a plurality of machine-learning based models for an end-to-end investigative process. The techniques include generating a profile for an input data object associated with an investigative process. A first machine-learning based model is used to select a predictive data analysis sub-routine for processing the profile. A second machine-learning based model is used to determine a predictive entity for performing an investigative process for the profile. An investigative outcome is received from the predictive entity. A historical optimization data object is augmented with the investigative outcome, the profile, the predictive data analysis sub-routine, or the predictive entity and the first machine-learning based model and the second machine-learning based model are trained using the historical optimization object.

Abstract: Various embodiments of the present invention disclose techniques for orchestrating a complex data processing scheme for an investigative process using a machine-learning based orchestration model that is trained to optimize the use of computing resources based at least in part on a feedback loop. An input data object associated with an investigative process can be selected for investigation; a predictive data analysis sub-routine for processing the input data object can be intelligently selected from a plurality of predictive data analysis sub-routines by the machine-learning based orchestration model; and a processing orchestration action can be initiated based at least in part on an investigative score output by the predictive data analysis sub-routine. The processing orchestration action can include closing the input data object, continuing to process the input data object with additional predictive data analysis sub-routines, or passing the input data object to a predictive entity for further processing.

Abstract: Systems, methods, and computer-readable media for intercepting telemetry events obtained during operation of an application and analyzing the telemetry events are provided. The telemetry events are intercepted at the library level by interposing on application calls to a native library. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.

Abstract: Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis, wherein an opportunity prediction is generated for an input data object using a relationship matrix database object and based at least in part on a network segment associated with the input data object.

Abstract: Systems, methods, and computer-readable media for performing web app scans of an application are provided. Telemetry events derived from the web app scan are intercepted by a runtime that has been instrumented in conjunction with the application. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.

Abstract: Systems, methods, and computer-readable media for intercepting telemetry events obtained during operation of an application and analyzing the telemetry events are provided. The telemetry events are intercepted at the library level by interposing on application calls to a native library. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.

Abstract: Systems, methods, and computer-readable media for intercepting telemetry events obtained during operation of an application and analyzing the telemetry events are provided. The telemetry events are intercepted at the library level by interposing on application calls to a native library. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive mapping operations with respect to a ground-truth database table. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive mapping operations utilizing a hierarchical string matching machine learning framework using at least one or more of an exact match model, a probabilistic match model, a disjoint match model, and an embedding-based match model.

Abstract: Systems, methods, and computer-readable media for intercepting telemetry events obtained during operation of an application and analyzing the telemetry events are provided. The telemetry events are intercepted at the library level by interposing on application calls to a native library. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.

Abstract: Systems, methods, and computer-readable media for intercepting telemetry events obtained during operation of an application and analyzing the telemetry events are provided. The telemetry events are intercepted at the library level by interposing on application calls to a native library. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.

Abstract: Systems, methods, and computer-readable media for intercepting telemetry events obtained during operation of an application and analyzing the telemetry events are provided. The telemetry events are intercepted at the library level by interposing on application calls to a native library. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.

Abstract: Systems, methods, and computer-readable media for performing web app scans of an application are provided. Telemetry events derived from the web app scan are intercepted by a runtime that has been instrumented in conjunction with the application. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.

Abstract: Systems, methods, and computer-readable media for intercepting telemetry events obtained during operation of an application and analyzing the telemetry events are provided. The telemetry events are intercepted at the library level by interposing on application calls to a native library. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.

Abstract: Systems, methods, and computer-readable media for intercepting telemetry events obtained during operation of an application and analyzing the telemetry events are provided. The telemetry events are intercepted at the library level by interposing on application calls to a native library. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.

Abstract: Systems, methods, and computer-readable media for intercepting telemetry events obtained during operation of an application and analyzing the telemetry events are provided. The telemetry events are intercepted at the library level by interposing on application calls to a native library. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.

Abstract: Systems, methods, and computer-readable media for intercepting telemetry events obtained during operation of an application and analyzing the telemetry events are provided. The telemetry events are intercepted at the library level by interposing on application calls to a native library. The telemetry events are collected and transmitted to a platform that analyzes the collected events and presents information based on the analysis.

Abstract: A boot with a flexible actuator can be used to provide improved protection and ease of use for an electrical connector plug. The plug, such as an RJ45 plug connected to a data or communications cable, can have an extended latch member adapted to releasably engage a connection mechanism of a receptacle into which the plug is placed. A recess in a receiving portion of an actuator can capture the extended end of the latch member, whereby damage to the latch member due to snagging or catching on nearby objects is prevented.

Abstract: A boot with a flexible actuator can be used to provide improved protection and ease of use for an electrical connector plug. The plug, such as an RJ45 plug connected to a data or communications cable, can have an extended latch member adapted to releasably engage a connection mechanism of a receptacle into which the plug is placed. A recess in a receiving portion of an actuator can capture the extended end of the latch member, whereby damage to the latch member due to snagging or catching on nearby objects is prevented.

Abstract: A tweezers type cable connector handling tool features two levers in guiding interaction via respective guiding faces to increase angular lever stiffness. The handling tool features also a central cable receiving channel to hold the extending cable of a connector clamped at the gripping end of the tool and to keep the cable bend radius from being bent more than standards provide for. The connector may be permanently clamped via a ratchet closure, a latching pin lock or a lever rotation joint lock such that the clamped connector may be conveniently handled via the handling tool without need to simultaneously apply a manual damping force. The handling tool may also feature an integrated flash light approximately tangential pointing towards the tool's gripping end. The flash light's housing is integrated in a bending stress communicating fashion while keeping the overall contour of the respective lever continuous.

Abstract: A door scratch shield and an optional frame scratch shield are configured for protecting a door and optionally its frame against push, pull and handle scratching as forms of escape scratching performed by domestic animals. The shield elements have bends that protect lateral sides of door and frame against pull scratching predominantly along the door's opening edge. The shield elements are of a material and thickness defined in conjunction with identified strength, hardness and approximated tip radius of domestic animal claws.