Abstract: An enterprise-wise means for determining monitoring requirements for technology resources, such as, software, hardware, firmware, network or the like and implementing the monitoring. Artificial Intelligence (AI) is implemented to determine monitoring requirements based on characteristics of the technology resource that is to be monitored. In this regard, the characteristics of the technology resource serve to define the problem(s), such as cyber threats and/or performance issues that the technology resource currently faces or will face in the future. By determining the monitoring requirements based on the technology resource's characteristics, including the technological environment, the invention serves to describe what needs to be monitored in terms of the problems that the technology resource currently faces or will face.

Abstract: Systems, computer program products, and methods are described herein for identification of obfuscated electronic data through placeholder indicators. The present invention is configured to electronically receive, from a computing device of a user, a request to obfuscate one or more data artifacts stored on a first database; retrieve, from a data obfuscation repository, one or more data obfuscation algorithms; implement the one or more data obfuscation algorithms on the one or more data artifacts; generate one or more placeholder indicators identifying the one or more data obfuscation algorithms implemented on the one or more data artifacts; create one or more data fields corresponding to the one or more masked data artifacts on the first database; store the one or more placeholder indicators in the one or more data fields; and update the first database with the one or more masked data artifacts and the one or more placeholder indicators.

Abstract: Systems, computer program products, and methods are described herein for identification of obfuscated electronic data through placeholder indicators. The present invention is configured to electronically receive, from a computing device of a user, a request to obfuscate one or more data artifacts stored on a first database; retrieve, from a data obfuscation repository, one or more data obfuscation algorithms; implement the one or more data obfuscation algorithms on the one or more data artifacts; generate one or more placeholder indicators identifying the one or more data obfuscation algorithms implemented on the one or more data artifacts; create one or more data fields corresponding to the one or more masked data artifacts on the first database; store the one or more placeholder indicators in the one or more data fields; and update the first database with the one or more masked data artifacts and the one or more placeholder indicators.

Abstract: Systems, computer program products, and methods are described herein for dynamic node analysis for network security response. The present invention is configured to detect, using a node analysis engine, a change in a network security protocol associated with a first node within a distributed network; extract information associated with the change in the network security protocol associated with the first node; identify one or more adjacent nodes with a first degree of separation from the first node in response to detecting the change; determine a first set of changes to the network security protocols for the one or more adjacent nodes based on at least the information associated with the change in the network security protocol of the first node; and automatically implement the first set of changes to the network security protocols of the one or more adjacent nodes with the first degree of separation from the first node.

Abstract: Systems, methods, and computer program products are provided for monitoring network security in a mesh network. An example method includes receiving trust of service information relating to a user. The trust of service information includes one or more security details associated with at least one of a user device or a user network associated with the user. The method also includes determining a security level of a session involving the user based on the trust of service information relating to the user. The method further includes determining a security protocol for the session based on the determined security level. The security protocol determines at least one of a user access level or an additional security measure. The method still further includes causing an execution of the session based on the security protocol determined.

Abstract: Systems, computer program products, and methods are described herein for implementing multi-dimensional data obfuscation. The present invention is configured to electronically receive, from a computing device of a user, a request to implement a multi-dimensional data obfuscation on a first database; initiate a data obfuscation engine on the first database based on at least receiving the request, wherein initiating further comprises: determining one or more data types associated with the one or more data artifacts; determining one or more exposure levels of the one or more data artifacts; retrieving, from a data obfuscation repository, one or more data obfuscation algorithms; and implementing the one or more data obfuscation algorithms on the one or more data artifacts based on at least the one or more data types; and generate an obfuscated first database based on at least initiating the data obfuscation engine on the first database.

Abstract: An enterprise-wise means for determining monitoring requirements for technology resources, such as, software, hardware, firmware, network or the like and implementing the monitoring. Artificial Intelligence (AI) is implemented to determine monitoring requirements based on characteristics of the technology resource that is to be monitored. In this regard, the characteristics of the technology resource serve to define the problem(s), such as cyber threats and/or performance issues that the technology resource currently faces or will face in the future. By determining the monitoring requirements based on the technology resource's characteristics, including the technological environment, the invention serves to describe what needs to be monitored in terms of the problems that the technology resource currently faces or will face.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for utilizing machine learning to identify data which is to be obfuscated in a format-preserving manner, which allows the obfuscated or masked data to appear as though it is original data. Because this type of obfuscation technique may require a higher degree of computational power than other techniques, there is a need to be able to dynamically choose when to implement format preservation based on a variety of factors. By using machine learning techniques, the present invention provides the functional benefit of analyzing both the data to be obfuscated, as well as available computational resources, to determine when it is appropriate to apply a format-preserving masking algorithm to the data. Accordingly, the present invention may ensure that organizational data is appropriately masked while preventing the resource strain associated with preserving the format of all original data.

Abstract: Embodiments of the present invention provide a system for performing obfuscation of electronic data through alteration of data formats. The system is configured for extracting data from one or more data sources associated with an entity, determining data format associated with the data extracted from the one or more data sources, calculating, via a central decisioning engine, an exposure score associated with the data based on one or more factors, determining, via the central decisioning engine, an obfuscation algorithm from one or more obfuscation algorithms for obfuscating the data based on the exposure score and the data format associated with the data, and obfuscating the data using the obfuscation algorithm.

Abstract: Systems, computer program products, and methods are described herein for identification of obfuscated electronic data through placeholder indicators. The present invention is configured to electronically receive, from a computing device of a user, a request to obfuscate one or more data artifacts stored on a first database; retrieve, from a data obfuscation repository, one or more data obfuscation algorithms; implement the one or more data obfuscation algorithms on the one or more data artifacts; generate one or more placeholder indicators identifying the one or more data obfuscation algorithms implemented on the one or more data artifacts; create one or more data fields corresponding to the one or more masked data artifacts on the first database; store the one or more placeholder indicators in the one or more data fields; and update the first database with the one or more masked data artifacts and the one or more placeholder indicators.

Abstract: Systems, computer program products, and methods are described herein for implementing dynamic data obfuscation using pattern recognition techniques. The present invention is configured to electronically receive one or more data artifacts; electronically receive one or more masked data artifacts; initiate one or more machine learning algorithms on the one or more data artifacts and the one or more masked data artifacts; determine, using the one or more machine learning algorithms, a first set of patterns associated with the one or more data artifacts and a second set of patterns associated with the one or more masked data artifacts; determine a similarity index between the first set of patterns and the second set of patterns; and compare the similarity index with a predetermined threshold; determine one or more alternate data obfuscation algorithms; and implement the one or more alternate data obfuscation algorithms on the one or more data artifacts.

Abstract: Systems, computer program products, and methods are described herein for implementing multi-dimensional data obfuscation. The present invention is configured to electronically receive, from a computing device of a user, a request to implement a multi-dimensional data obfuscation on a first database; initiate a data obfuscation engine on the first database based on at least receiving the request, wherein initiating further comprises: determining one or more data types associated with the one or more data artifacts; determining one or more exposure levels of the one or more data artifacts; retrieving, from a data obfuscation repository, one or more data obfuscation algorithms; and implementing the one or more data obfuscation algorithms on the one or more data artifacts based on at least the one or more data types; and generate an obfuscated first database based on at least initiating the data obfuscation engine on the first database.