Abstract: An approach for enhancing a video stream. The approach processes a video stream and identifies frames comprising text. The approach marks text extraction locations and extracts the text from the frames. The approach determines if a mirroring effect should be applied to the text and applies if applicable, creating enhanced text. The approach inserts the enhanced text and smooths the edges of the inserted enhanced text. The approach merges the frames with the enhanced text into the video stream, creating an enhanced video stream and sends the enhanced video stream to requesting users.

Abstract: In an approach for multifactor authorization on hardware calls of resources, a processor receives a request for a hardware resource from a plurality of hardware resources being monitored. A processor calculates a risk level associated with the hardware resource of the request based on a respective risk level data repository. A processor, in response to a determination the risk level requires multifactor authorization, determines that a user associated with the request is logged in. A processor identifies a mechanism used by the user to log in. A processor determines whether a challenge associated with the multifactor authorization based on the mechanism is successful. A processor, in response to a determination the challenge associated with the multifactor authorization is successful, enables access to the hardware resource of the request.

Abstract: A random password policy for a specific user associated with an entity is generated based on a global password requirement. A new password created by the specific user based on the generated random password policy is identified. That the new password complies with a set of requirements specified by the generated random password policy is confirmed.

Abstract: A method of generating a virtual reality (“VR”) experience includes detecting, using external sensors, a real-world spectator that is in a spectator space that is adjacent to a user that is wearing a VR headset and experiencing a VR space. The method also includes detecting a real-world physical state of the spectator, and rendering, in response to detecting, the spectator in the VR space as an avatar that reflects the real-world physical state of the spectator.

Abstract: A computer-implemented method includes: monitoring, by a computing device, outputs of sensors associated with a machine that receives magnetic stripe cards; in response to the monitoring, detecting, by the computing device, the output of at least one of the sensors indicates an event; in response to the detecting the event, determining, by the computing device, a number of the sensors whose output indicates a respective event during a predefined time period; selecting, by the computing device, a security action from a plurality of predefined security actions based on the determined number of the sensors whose output indicates a respective event during the predefined time period; and initiating, by the computing device, the security action.

Abstract: A voice signal in a headphone is detected. The voice signal includes a person speaking an audible command. Based on detecting the voice signal a first biometric signature of a user is retrieved. The first biometric signature is compared to one or more biometric features of the person. Based on comparing the first biometric signature to the one or more biometric features an authentication of the user is determined. An authentication action is performed based on the detected voice signal. The authentication action is performed in response to verifying the authentication.

Abstract: According to one embodiment, a method, computer system, and computer program product for intrusion movement prediction is provided. The embodiment may include receiving environmental sensor data corresponding to a monitored space as captured by a plurality of sensors affixed to an airflow component. The embodiment may also include generating a three-dimensional model of the monitored space using the received environmental data. The method may further include, in response to determining a disturbance is present in the three-dimensional model, performing a security action.

Abstract: A computer-implemented method for detecting and concealing confidential communications is disclosed. The computer-implemented method includes determining an audio output source used by a participant of an audio conference is unidentifiable. The computer-implemented method further includes responsive to determining that the audio output source used by the participant of the audio conference is unidentifiable, transmitting a high frequency signal via audio conference software used by the participant to conduct the audio conference. The computer-implemented method further includes responsive to detecting the high frequency signal via a microphone of a user device used by the participant to listen to the audio conference, determining that the participant is using a speaker to listen to the audio conference.

Abstract: A computer-implemented method for detecting and obstructing skimmer devices is disclosed. The computer-implemented method includes monitoring wireless communications within a network environment. The computer-implemented method further includes identifying information associated with one or more wireless communications within the network environment transmitted by an unknown wireless device. The computer-implemented method further includes selecting an obstruction rule based, at least in part, on the information associated with the one or more wireless communications transmitted by the unknown wireless device. The computer-implemented method further includes executing an obstruction action corresponding to the selected obstruction rule.

Abstract: An indication associated with an AI mode enabled by an AI system is received from a user with an affirmative opt-in status. A first task request associated with the user is identified. One or more instructions associated with the first task request are contextually recognized. The first task request is completed based on the contextually recognized one or more instructions.

Abstract: A dynamic user interface (UI) input system and method for smart glasses based on availability states of a user is provided. In embodiments, a method includes determining, by a computing device of smart glasses, an initial availability state of a user's hands for a user interface (UI) navigation event based on incoming image data; selecting, by the computing device, a UI configuration and a control profile for the UI navigation event from stored UI configurations and control profiles of the user based on the initial availability state of the user's hands; and initiating, by the computing device, the UI navigation event based on the selected UI configuration and the control profile, wherein content is displayed in a virtual UI of the smart glasses according to the UI configuration, and UI navigation by the user is controlled based on the control profile.

Abstract: A voice signal in a headphone is detected. The voice signal includes a person speaking an audible command. Based on detecting the voice signal a first biometric signature of a user is retrieved. The first biometric signature is compared to one or more biometric features of the person. Based on comparing the first biometric signature to the one or more biometric features an authentication of the user is determined. An authentication action is performed based on the detected voice signal. The authentication action is performed in response to verifying the authentication.

Abstract: According to one embodiment, a method, computer system, and computer program product for intrusion movement prediction is provided. The embodiment may include receiving environmental sensor data corresponding to a monitored space as captured by a plurality of sensors affixed to an airflow component. The embodiment may also include generating a three-dimensional model of the monitored space using the received environmental data. The method may further include, in response to determining a disturbance is present in the three-dimensional model, performing a security action.

Abstract: According to one embodiment, a method, computer system, and computer program product for intrusion movement prediction is provided. The embodiment may include receiving environmental sensor data corresponding to a monitored space as captured by a plurality of sensors affixed to an airflow component. The embodiment may also include generating a three-dimensional model of the monitored space using the received environmental data. The method may further include, in response to determining a disturbance is present in the three-dimensional model, performing a security action.

Abstract: A method can include identifying an audio output device having a first audio status. In the first audio status, the audio output device can be configured to receive first audio data of at least one software application of a set of software applications of a computing device. In the first audio status, the audio output device can be configured to emit, based on the first audio data, first audio content corresponding to the at least one software application. The method can include identifying a priority software application of the computing device. The method can include assigning, in response to the identifying the priority software application, a second audio status to the audio output device. The assigning can include preventing the audio output device from emitting the first audio content. The assigning can further include configuring the audio output device to emit second audio content of the priority software application.

Abstract: A computer-implemented method, a system, and a computer program product for detecting objects are disclosed. The method can include receiving, by a computer communicatively connected to a plurality of anemometers positioned throughout the space, first sensor data from the plurality of anemometers, creating a baseline profile of airflow in the space based on the first sensor data, and receiving second sensor data from the plurality of anemometers at a different time than the first sensor data. The method can include comparing the second sensor data with the first sensor data to determine first different data, rendering, in response to determining that the second sensor data is different from the first sensor data, a representation of the object using the first different data and first location data related to the first different data, and calculating a vector associated with the object using the first different data and the first location data.

Abstract: A dynamic user interface (UI) input system and method for smart glasses based on availability states of a user is provided. In embodiments, a method includes determining, by a computing device of smart glasses, an initial availability state of a user's hands for a user interface (UI) navigation event based on incoming image data; selecting, by the computing device, a UI configuration and a control profile for the UI navigation event from stored UI configurations and control profiles of the user based on the initial availability state of the user's hands; and initiating, by the computing device, the UI navigation event based on the selected UI configuration and the control profile, wherein content is displayed in a virtual UI of the smart glasses according to the UI configuration, and UI navigation by the user is controlled based on the control profile.

Abstract: A system and method for disabling a function of a feature of a vehicle based on a validation request to a centralized validation authority, prior to a use of the feature includes determining that a condition is met as part of a startup sequence of the vehicle, transmitting the validation request to the centralized validation authority, in response to determining the condition is met, wherein the validation request is part of the startup sequence of the vehicle, receiving a validation decision from the centralized validation authority, and disabling the feature of the vehicle as a function of the receiving the validation decision.

Abstract: A method includes: in response to identifying a primary user and corresponding Primary AI Assistant for a meeting, receiving by the Primary AI Assistant a confirmation to enroll at least one user personal digital assistant (PDA) of a respective one of at least one user; prompting the at least one user to provide descriptive information associated with the respective user PDA; connecting the at least one user PDA to the Primary AI Assistant internally by the Primary AI Assistant using the descriptive information for submitting requests; identifying by the Primary AI Assistant keywords and phrases received from the at least one user or primary user in the meeting; determining by the Primary AI Assistant a scheduling item based on the identified keywords and phrases; and automatically providing by the Primary AI Assistant the scheduling item to at least one user PDA corresponding to the scheduling item using the descriptive information.

Abstract: A computer-implemented method includes: monitoring an operating system of a server that serves content to client computing devices, wherein the server maintains log files; determining, based on the monitoring, whether commands received at the operating system are indicative of tampering with one or more of the log files; responsive to determining the commands are indicative of tampering with one or more of the log files, performing a predefined security action; and responsive to determining the commands of the user are not indicative of tampering with one or more of the log files, sending the commands to a kernel of the operating system for execution.