Wells Fargo Bank, N.a.

Robert I Kirby

Peter Anatole Makohon

Lawrence T Belton, Jr

Jonathan A McNeill

Samantha Grosby

Christopher J Houser

Terrence W Gareau

Linda T Kirby

The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of determining network segmentation. The innovation can search a network to determine a set of network entities, the network entities belonging to the network, and determine network factors of each network entity in the set of network entities. The innovation can evaluate each network factor and determine segmentation candidates based on the evaluation of each network factor. The innovation can determine a risk ranking for each network factor for each network entity and aggregate each risk ranking into a segmentation score for each network entity. The innovation can determine a segmentation candidate when a network entity segmentation score satisfies a threshold score. The innovation can generate a sub-network that is part of the network for the segmentation candidate, and transfer the segmentation candidate to the sub-network.

Network segmentation

Blind spots in a network system are identified and eliminated. Synthetic transactions are generated and transmitted across a network system, and at least a portion of the synthetic transactions is captured. Parts of the synthetic transactions that were not captured can be determined and employed to generate a logical security map of the network system based on the captured synthetic transactions. At least one blind spot can be identified from in the logical security map of the network system, and a solution determined to eliminate the at least one blind spot. Subsequently, the solution is implemented for the network system to eliminate the blind spot.

Eliminating network security blind spots

Situational awareness and perimeter protection orchestration determines when network attacks are occurring, or predicts their occurrence, and provides tools and services to mitigate the attacks. The attacks can be denial of service attacks or distributed denial of service attacks or other types of attacks designed to disable and degrade a network. The dashboard can collect intelligence on what is happening on the network, and also streams of information from third parties that can be used to predict imminent network attacks. The dashboard can also determine what tools and services are available to the network operator in order to counteract the attacks.

Situational awareness and perimeter protection orchestration

The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of eliminating blind spots in a network system. The systems and methods generate synthetic transactions across a network system and capture at least part of the generated synthetic transactions. The systems and methods determine parts of the synthetic transactions that were not captured and generate a logical security map of the network system based on the captured synthetic transactions. The systems and methods determine at least one blind spot in the logical security map of the network system and determine a solution to eliminate the at least one blind spot. The systems and methods implement the solution for the network system to eliminate the blind spot.

Systems and methods provide for a situational awareness and perimeter protection orchestration system to determine when network attacks are occurring or are about to occur, and provide tools and services to mitigate the attacks. The attacks can be denial of service attacks or distributed denial of service attacks or other types of attacks designed to disable and degrade a network. The dashboard can collect intelligence on what is happening on the network, and also streams of information from third parties that can be used to predict imminent network attacks. The dashboard can also determine what tools and services are available to the network operator in order to counteract the attacks.

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Charlotte, NC, United States of America

Robert I Kirby