Abstract: Described herein are systems and methods for an entity ranking system. In one embodiment, a computing system is configured to interface with one or more domains to identify a set of entities. The computing system can ascertain a first set of data components for each entity, normalize each of the first set of data components for each entity, and detect a failure to ascertain a second set of data components. The computing system can compute a statistical probability for a possible set of values for each data component of the second set based on the ascertained first set of data components. The computing system can rank each entity based on a derived quantile. The computing system can generate a graphical user interface including a visualization of the ranking of each entity, which can be rendered on a display of the at least one user computing devices.

Abstract: A system, method and non-transitory computer readable medium for detecting unsecured sensors in a network. A computing system can find an IP address associated with an unsecured sensor based on a port through which the unsecured sensor communicates with the network. The computing system can ascertain a prefix route associated with the IP address for the unsecured sensor based on a portion of the IP address. The computing system can determine geographic coordinate data associated with the prefix route. The computing system can identify location data of a set of facilities within a specified geographic radius of the geographic coordinate data. The computing system can associate the unsecured sensor with a first one of the facilities in the set of facilities based on a distance between geographic coordinate data and the location data associated with the first one of the facilities being less than a specified distance threshold.

Abstract: Described herein are systems and methods for an entity ranking system. In one embodiment, a computing system is configured to interface with one or more domains to identify a set of entities. The computing system can ascertain a first set of data components for each entity, normalize each of the first set of data components for each entity, and detect a failure to ascertain a second set of data components. The computing system can compute a statistical probability for a possible set of values for each data component of the second set based on the ascertained first set of data components. The computing system can rank each entity based on a derived quantile. The computing system can generate a graphical user interface including a visualization of the ranking of each entity, which can be rendered on a display of the at least one user computing devices.

Abstract: A system, method and non-transitory computer readable medium for detecting unsecured sensors in a network. A computing system can find an IP address associated with an unsecured sensor based on a port through which the unsecured sensor communicates with the network. The computing system can ascertain a prefix route associated with the IP address for the unsecured sensor based on a portion of the IP address. The computing system can determine geographic coordinate data associated with the prefix route. The computing system can identify location data of a set of facilities within a specified geographic radius of the geographic coordinate data. The computing system can associate the unsecured sensor with a first one of the facilities in the set of facilities based on a distance between geographic coordinate data and the location data associated with the first one of the facilities being less than a specified distance threshold.