Abstract: Providing an isolation system that allows analysts to analyze suspicious information in a way that aids in preventing harmful information from spreading to other applications and systems on a network. A plurality of virtual containers may be used by analysts to analyze suspicious information. The analyst may set the virtual environment configurations (e.g., applications, programs, settings, etc.) of the virtual container. The analyst may determine how the suspicious information effects the virtual environment configuration and/or use tools to analyze the suspicious information. When harmful information is identified the virtual container may be discarded (e.g., folded up and deleted), and a new virtual container may be provided to the analyst to continue to analyze the suspicious information and/or new suspicious information.

Abstract: Embodiments of the present invention provide a system monitoring and identifying real-time indicators and patterns to predict occurrence of real-time events. The system is configured for continuously gathering and monitoring real-time data from one or more monitoring devices associated with the entity, identifying that at least one user device is within a predetermined distance and automatically transmit a prompt to the user device to connect to a beacon, identifying that at least one user associated with the at least one user device has connected to the beacon, continuously monitoring the at least one user device in real-time, identifying occurrence of a potential real-time event based on continuously monitoring the at least one user device and the real-time data from the one or more monitoring devices, via an artificial intelligence engine.

Abstract: Providing an isolation system that allows analysts to analyze suspicious information in way that aids in preventing harmful information from spreading to other applications and systems on a network. The isolation systems are physically and/or logically separated from other systems on the network. A plurality of virtual containers, which may be disposable and specific to each analyst, may be utilized to analyze the suspicious information within the isolation systems. The isolation system automatically performs analysis of the suspicious information in parallel, via an automated intelligent engine to identify presence of harmful information in the suspicious information. In response to identifying the at least harmful information in the suspicious information, the isolation system determines a type of the harmful information and transmits one or more notifications to one or more users based on the type of the harmful information.