Abstract: Systems and methods are disclosed for disrupting unauthorized audio capture using broad-spectrum audio masking with inaudible data injection. A 360-degree microphone captures ambient audio and analyzes it to detect noise levels, identify audio sources, and classify unauthorized audio capture devices. A randomizer generates phoneme-like or nonsensical data mimicking human speech without coherent meaning. This data is combined with dynamically generated masking signals spanning audible and inaudible ranges to create a comprehensive masking signal. The signal is frequency-shifted into the inaudible range, making it inaudible to humans but disruptive to listening devices. The system adapts the masking signal to environmental changes, including noise variations and new capture devices, while a feedback mechanism refines the signal in real time. A memory module stores profiles of previous environments for rapid deployment.

Abstract: Systems and methods are disclosed for preventing unauthorized audio capture by neutralizing electronic personal digital assistants in real-time using predictive modeling. The system captures audio signals with a 360-degree microphone and isolates the target speaker's voice by analyzing unique vocal characteristics, such as pitch, tone, and cadence. A processing unit employs a machine learning model to predict subsequent words or phrases using linguistic context and pre-trained datasets. A targeted counteracting audio signal, 180 degrees out of phase with the speech, is dynamically adjusted for vocal fluctuations and frequency-shifted into the inaudible range to disrupt capture by listening devices. The system synchronizes the signal with the speaker's cadence and adapts to environmental changes in real time. A feedback mechanism refines the signal's effectiveness, while local memory stores user profiles for rapid deployment.

Abstract: A system includes a memory configured to store a software codebase and an instance of vulnerabilities associated with the software codebase. The system further includes a processor coupled to the memory and configured to access the software codebase and execute a scan to identify sets of metadata associated with the software codebase. The processor is configured to execute a first machine-learning model trained to generate a prediction of feature clusters based on the sets of metadata. The plurality of feature clusters includes a ratio of a vulnerability to a time-intensiveness associated with remediating the vulnerability. The processor is configured to execute a second machine-learning model trained to generate a prediction of associations between the plurality of feature clusters and the instance of vulnerabilities. The prediction of associations includes an estimate of a time-intensiveness for remediating the instance of vulnerabilities.

Abstract: A computing platform may generate a schema to prompt for user access information, wherein the user access information includes: 1) a set of authorized users and 2) one or more portions of an information source to which the set of authorized users have access. The computing platform may send, to a first user device, the schema. The computing platform may receive, from the first user device, the user access information. The computing platform may translate the user access information to structured user information, which may include translating the user access information from a first format into a second format. The computing platform may send, to a second user device corresponding to one of the set of authorized users, the structured user information.

Abstract: Embodiments of the present invention provide a system for generating consolidated resource access control data in an electronic network. The system is configured for identifying one or more entity resources associated with an entity, gathering access characteristics associated with the one or more entity resources from one or more third party entity systems, consolidating the access characteristics gathered from the one or more third party entity systems, parsing the consolidated access characteristics, via a data parsing application, to generate parsed data, auto-populating a matrix in a storage system based on the parsed data, and generating resource access control data associated with the one or more entity resources and the one or more third party entity systems based on auto-populated data from the matrix.

Abstract: A system includes a memory configured to store a software codebase and an instance of vulnerabilities associated with the software codebase. The system further includes a processor coupled to the memory and configured to access the software codebase and execute a scan to identify sets of metadata associated with the software codebase. The processor is configured to execute a first machine-learning model trained to generate a prediction of feature clusters based on the sets of metadata. The plurality of feature clusters includes a ratio of a vulnerability to a time-intensiveness associated with remediating the vulnerability. The processor is configured to execute a second machine-learning model trained to generate a prediction of associations between the plurality of feature clusters and the instance of vulnerabilities. The prediction of associations includes an estimate of a time-intensiveness for remediating the instance of vulnerabilities.

Abstract: A computing platform may generate a schema to prompt for user access information, wherein the user access information includes: 1) a set of authorized users and 2) one or more portions of an information source to which the set of authorized users have access. The computing platform may send, to a first user device, the schema. The computing platform may receive, from the first user device, the user access information. The computing platform may translate the user access information to structured user information, which may include translating the user access information from a first format into a second format. The computing platform may send, to a second user device corresponding to one of the set of authorized users, the structured user information.

Abstract: Embodiments of the present invention provide a system for generating consolidated resource access control data in an electronic network. The system is configured for identifying one or more entity resources associated with an entity, gathering access characteristics associated with the one or more entity resources from one or more third party entity systems, consolidating the access characteristics gathered from the one or more third party entity systems, parsing the consolidated access characteristics, via a data parsing application, to generate parsed data, auto-populating a matrix in a storage system based on the parsed data, and generating resource access control data associated with the one or more entity resources and the one or more third party entity systems based on auto-populated data from the matrix.

Abstract: An apparatus for retrofitting a hard-wired building alarm system, the apparatus comprising: a processor comprising a communications module and a translation module; a power supply connected to a plurality of power out terminals, wherein a power out terminal is connected to powered building security device using the hard-wired building alarm system wiring; and a plurality of input/output terminals, wherein an input/output terminal is connected to a building security sensor using the hard-wired building alarm system wiring; wherein the processor is configured to: receive sensor data input from an input/output terminal; translate the sensor data input into home automation output; and transmit the home automation output to a home automation server using the communication module; wherein the processor is further configured to: receive an actuator instruction from the home automation server via the communication module; translate the actuator instruction into an electrical current on an input/output terminal.