System and method for horizontal electronic data intake through an integrated online platform
A system is provided for horizontal electronic data intake through an integrated online platform. In particular, the system may provide an online centralized platform that may aggregate and consolidate operational data from multiple sources or groups within a network environment. The operational data may be converted to a universal format through the intake process. The system may use an artificial intelligence engine to analyze the patterns within the operational data to identify gaps or issues in existing operational controls or processes and subsequently output one or more recommendations for remediating the gaps or issues. In this way, the system may provide an efficient way to remediate operational issues within the network environment.
1 . A system for horizontal electronic data intake through an integrated online platform, the system comprising:
a processing device;
a non-transitory storage device containing instructions when executed by the processing device, cause the processing device to perform the steps of:
receiving, through a consolidated online portal, operations data from one or more computing devices in a network environment, wherein the operations data comprises operations incident data;
parsing and transforming the operations data into a standardized format within an operations data repository, wherein parsing and transforming the operations data into the standardized format comprises:
receiving a first set of operations data from a first computing device in a first format;
receiving a second set of operations data from a second computing device in a second format;
extracting, using an artificial intelligence (“AI) engine, targeted information from the first set of operations data and the second set of operations data; and
populating the operations data repository with the targeted information in the standardized format;
analyzing the operations data using the AI engine to identify one or more patterns within the operations data;
identifying, based on identifying the one or more patterns, one or more control gaps with respect to the operations incident data; and
generating, using the AI engine, one or more recommendations for remediating the control gaps.
2 . The system of claim 1 , wherein the operations incident data comprises historical incident data, wherein the historical incident data comprises at least one of incident information, incident timelines, and incident response information.
3 . The system of claim 1 , wherein the AI engine is trained using the operations incident data.
4 . The system of claim 1 , wherein the one or more control gaps comprises at least one of an application or data security vulnerability or a faulty mitigation process.
5 . The system of claim 1 , wherein the one or more recommendations are transmitted to and displayed on a graphical user interface presented on a user computing device.
6 . The system of claim 5 , wherein the one or more recommendations are generated using one or more generative AI models in the form of a natural language output, wherein the natural language output comprises a summary of one or more incidents and a description of one or more resolution steps for mitigating the one or more incidents.
7 . A computer program product for horizontal electronic data intake through an integrated online platform, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to perform the steps of:
receiving, through a consolidated online portal, operations data from one or more computing devices in a network environment, wherein the operations data comprises operations incident data;
parsing and transforming the operations data into a standardized format within an operations data repository, wherein parsing and transforming the operations data into the standardized format comprises:
receiving a first set of operations data from a first computing device in a first format;
receiving a second set of operations data from a second computing device in a second format;
extracting, using an artificial intelligence (“AI) engine, targeted information from the first set of operations data and the second set of operations data; and
populating the operations data repository with the targeted information in the standardized format;
analyzing the operations data using the AI engine to identify one or more patterns within the operations data;
identifying, based on identifying the one or more patterns, identify one or more control gaps with respect to the operations incident data; and
generating, using the AI engine, one or more recommendations for remediating the control gaps.
8 . The computer program product of claim 7 , wherein the operations incident data comprises historical incident data, wherein the historical incident data comprises at least one of incident information, incident timelines, and incident response information.
9 . The computer program product of claim 7 , wherein the AI engine is trained using the operations incident data.
10 . The computer program product of claim 7 , wherein the one or more control gaps comprises at least one of an application or data security vulnerability or a faulty mitigation process.
11 . The computer program product of claim 7 , wherein the one or more recommendations are transmitted to and displayed on a graphical user interface presented on a user computing device.
12 . A computer-implemented method for horizontal electronic data intake through an integrated online platform, the computer-implemented method comprising:
receiving, through a consolidated online portal, operations data from one or more computing devices in a network environment, wherein the operations data comprises operations incident data;
parsing and transforming the operations data into a standardized format within an operations data repository, wherein parsing and transforming the operations data into the standardized format comprises:
receiving a first set of operations data from a first computing device in a first format;
receiving a second set of operations data from a second computing device in a second format;
extracting, using an artificial intelligence (“AI) engine, targeted information from the first set of operations data and the second set of operations data; and
populating the operations data repository with the targeted information in the standardized format;
identifying, analyzing the operations data using the AI engine to identify one or more patterns within the operations data;
based on identifying the one or more patterns, one or more control gaps with respect to the operations incident data; and
generating, using the AI engine, one or more recommendations for remediating the control gaps.
13 . The computer-implemented method of claim 12 , wherein the operations incident data comprises historical incident data, wherein the historical incident data comprises at least one of incident information, incident timelines, and incident response information.
14 . The computer-implemented method of claim 12 , wherein the AI engine is trained using the operations incident data.
15 . The computer-implemented method of claim 12 , wherein the one or more control gaps comprises at least one of an application or data security vulnerability or a faulty mitigation process.
16 . The computer-implemented method of claim 12 , wherein the one or more recommendations are transmitted to and displayed on a graphical user interface presented on a user computing device.
17 . The computer-implemented method of claim 12 , wherein the one or more recommendations are generated using one or more generative AI models in the form of a natural language output, wherein the natural language output comprises a summary of one or more incidents and a description of one or more resolution steps for mitigating the one or more incidents.