Abstract: A virtual data lake system created with browser-based decentralized data access and analysis is disclosed herein. As contemplated by the present disclosure, the system provides a single interface that allows a user to access and analyze multiple enterprise data storage locations remotely and simultaneously while presenting and reporting information from the multiple sources in a single, uniform display. Such a solution allows a user to analyze and cross-reference data stored in multiple locations in real time without requiring the actual data files to be displaced or combined. The system further implements interactive artificial intelligence, natural language processing, and workflow-based operations for improved user access and functionality.

Abstract: A virtual data lake system created with browser-based decentralized data access and analysis is disclosed herein. As contemplated by the present disclosure, the system provides a single interface that allows a user to access and analyze multiple enterprise data storage locations remotely and simultaneously while presenting and reporting information from the multiple sources in a single, uniform display. Such a solution allows a user to analyze and cross-reference data stored in multiple locations in real time without requiring the actual data files to be displaced or combined. The system further implements interactive artificial intelligence, natural language processing, and workflow-based operations for improved user access and functionality.

Abstract: The artificial intelligence-assisted information technology data management and natural language playbook system disclosed herein is designed to support current enterprise information technology security personnel by providing a faster and easier method for finding information or anomalies in current system data and logs. Enterprise security divisions often use multiple security information and event management (SIEM) software platforms to monitor their personnel data and logs, though even the use of such platforms requires advanced knowledge and skill on behalf of the user. The current system allows security users of all skill levels to interact using natural language processing with the system and effectively investigate such data and logs. The system assists such users by interacting with these SIEM platforms on their behalf and providing the users with access to pre-programmed natural language inquiry sequences, called “playbooks,” and easily customizable output displays.

Abstract: The artificial intelligence-assisted information technology data management and natural language playbook system disclosed herein is designed to support current enterprise information technology security personnel by providing a faster and easier method for finding information or anomalies in current system data and logs. Enterprise security divisions often use multiple security information and event management (SIEM) software platforms to monitor their personnel data and logs, though even the use of such platforms requires advanced knowledge and skill on behalf of the user. The current system allows security users of all skill levels to interact using natural language processing with the system and effectively investigate such data and logs. The system assists such users by interacting with these SIEM platforms on their behalf and providing the users with access to pre-programmed natural language inquiry sequences, called “playbooks,” and easily customizable output displays.