Abstract: Aspects of the disclosure relate to computing hardware and software for uniform security access. A computing platform may receive, from a 5G device, a request to access a collaborative experience service. The computing platform may identify whether the 5G device is authenticated. Based on identifying that the 5G device is authenticated, the computing platform may grant the 5G device access to an API that may be used to access the collaborative experience service. The computing platform may identify that attributes of the 5G device comply with a stored security policy, and grant access to the collaborative experience service in response. The computing platform may receive user interaction information from the 5G device, and may input the user interaction information into an anomaly detection model. Based on identifying that the interactions do not comprise an anomaly for the user, the computing platform may maintain the access to the collaborative experience service.

Abstract: Aspects of the disclosure relate to using machine-learning models to determine graduated levels of access to secured data for remote devices. In some embodiments, a computing platform may establish a connection with a mobile device. Subsequently, based on establishing the connection, the platform may identify initial device information, device features, and user information. The platform may input the identified information into an authentication model to compute a baseline authentication score and then may identify an initial level of access to secured resources for the mobile device. Thereafter, the platform may receive from the mobile device, AR/VR device information captured by the mobile device. The platform may input the AR/VR device information into the authentication model to compute an augmented authentication score. Based on the augmented score, the platform may identify an augmented level of access to secured resources for the mobile device.

Abstract: Aspects of the disclosure relate to using machine-learning models to determine graduated levels of access to secured data for remote devices. In some embodiments, a computing platform may establish a connection with a mobile device. Subsequently, based on establishing the connection, the platform may identify initial device information, device features, and user information. The platform may input the identified information into an authentication model to compute a baseline authentication score and then may identify an initial level of access to secured resources for the mobile device. Thereafter, the platform may receive from the mobile device, AR/VR device information captured by the mobile device. The platform may input the AR/VR device information into the authentication model to compute an augmented authentication score. Based on the augmented score, the platform may identify an augmented level of access to secured resources for the mobile device.

Abstract: Aspects of the disclosure relate to computing hardware and software for uniform security access. A computing platform may receive, from a 5G device, a request to access a collaborative experience service. The computing platform may identify whether the 5G device is authenticated. Based on identifying that the 5G device is authenticated, the computing platform may grant the 5G device access to an API that may be used to access the collaborative experience service. The computing platform may identify that attributes of the 5G device comply with a stored security policy, and grant access to the collaborative experience service in response. The computing platform may receive user interaction information from the 5G device, and may input the user interaction information into an anomaly detection model. Based on identifying that the interactions do not comprise an anomaly for the user, the computing platform may maintain the access to the collaborative experience service.

Abstract: Aspects of the disclosure relate to computing hardware and software for enhancing collaborative experience security. A computing platform may receive, from a user device, a request to join an enhanced reality collaborative experience involving use of an avatar in an AR or VR environment. The computing platform may verify an authorization channel for the user device, and may grant the user device access to the enhanced reality collaborative experience. The computing platform may receive biometric information corresponding to the user. Using data collected by the user device and the biometric information, the computing platform may perform anomaly detection to detect anomalies in the avatar's participation in the enhanced reality collaborative experience. In response to detecting the anomalies, the computing platform may perform one or more security actions for the enhanced reality collaborative experience.

Abstract: An ozone-friendly correction fluid includes a non-halogenated solvent, a butyl methacrylate copolymer as the polymeric film-forming material, a plasticizer, and an opacifying agent.