System and method of a requirement, active compliance and resource management for cyber security application

A method of requirement, active compliance, active detection and resource management algorithm for cyber security utilizes:

• a learning computer system,
• wherein the learning computer system comprises:
• a premise computer system, or a mobile computer system, or a cloud computer system,
• wherein the learning computer system further comprises:
• one or more hardware processors, or system on chips based on neural networks, in communication with a non-transitory computer readable medium,
• wherein the non-transitory computer readable medium stores one or more software modules, including step-by-step instructions for the method of requirement, active compliance, active detection and resource management algorithm for cyber security, one or more learning algorithms, and/or quantum computing learning algorithms that are executable by the one or more hardware processors, or system on chips based on neural networks,
• wherein the one or more learning algorithms, and/or quantum computing learning algorithms are coupled with learning and/or adoption and/or data analysis in any cyber security risk in real-time or near real-time,
• wherein the method of requirement, active compliance, active detection and resource management algorithm comprises:
• steps (a), (b), (c), (d), (e), (f), (g) and (h), at least in an ordered manner or an ordered sequence,
• (a) a requirement input collection algorithm or a set of step-by-step instructions for collecting a requirement of cyber security, or a requirement input data of cyber security from a data source, or an inputting device;
• (b) a compliance requirement input collection algorithm or a set of step-by-step instructions for collecting compliance of cyber security, or a compliance input data of cyber security from a data source, or an inputting device;
• (c) a requirement analysis algorithm or a set of step-by-step instructions for analyzing the requirement of cyber security, the requirement input data of cyber security, the compliance input data of cyber security, or the compliance of cyber security;
• (d) a specification generation algorithm or a set of step-by-step instructions for generating a specification of the requirement based on the analysis of the requirement of cyber security, the requirement input data of cyber security, the compliance input data of cyber security, or the compliance of cyber security;
• (e) a verification algorithm or a set of step-by-step instructions for verifying, the requirement of cyber security, the requirement input data of cyber security, the compliance input data of cyber security, or the compliance of cyber security;
• (f) a fuzzy logic algorithm or a set of step-by-step instructions for accounting for inexactness of the requirement input data of cyber security, or inexactness of interpretation of the requirement input data of cyber security;
• (g) an algorithm or a set of step-by-step instructions for a user behavior, or an entity behavior;
• and
• (h) a traceability generation algorithm or a set of step-by-step instructions for tracing the requirement input data of cyber security, or the requirement output data of cyber security,
• wherein the method of requirement, active compliance, active detection and resource management algorithm of cyber security is interfacing with an algorithm or a set of step-by-step instructions for analysis of a large set of data, or a set of encrypted data blocks in real-time or near real-time.

A method of requirement, active compliance, active detection and resource management algorithm for cyber security utilizes:

• a learning computer system,
• wherein the learning computer system comprises:
• a premise computer system, or a mobile computer system, or a cloud computer system,
• wherein the learning computer system further comprises:
• one or more hardware processors, or system on chips based on neural networks, in communication with a non-transitory computer readable medium,
• wherein the non-transitory computer readable medium stores one or more software modules, including step-by-step instructions for the method of requirement, active compliance, active detection and resource management algorithm for cyber security, one or more learning algorithms, and/or quantum computing learning algorithms, and/or one or more software agents, that are executable by the one or more hardware processors, or system on chips based on neural networks,
• wherein the one or more learning algorithms, and/or quantum computing learning algorithms are coupled with learning and/or adoption and/or data analysis in any cyber security risk in real-time or near real-time,
• wherein the one software agent is coupled with the learning computer,
• wherein the one or more software agents are coupled to search the Internet for cyber security risk in real-time or near real-time,
• wherein the method of requirement, active compliance, active detection and resource management algorithm comprises:
• steps (a), (b), (c), (d), (e), (f), (g) and (h), at least in an ordered manner or an ordered sequence,
• (a) a requirement input collection algorithm or a set of step-by-step instructions for collecting a requirement of cyber security, or a requirement input data of cyber security from a data source, or an inputting device;
• (b) a compliance requirement input collection algorithm or a set of step-by-step instructions for collecting compliance of cyber security, or a compliance input data of cyber security from a data source, or an inputting device;
• (c) a requirement analysis algorithm or a set of step-by-step instructions for analyzing the requirement of cyber security, the requirement input data of cyber security, the compliance input data of cyber security, or the compliance of cyber security;
• (d) a specification generation algorithm or a set of step-by-step instructions for generating a specification of the requirement based on the analysis of the requirement of cyber security, the requirement input data of cyber security, the compliance input data of cyber security, or the compliance of cyber security;
• (e) a verification algorithm or a set of step-by-step instructions for verifying, the requirement of cyber security, the requirement input data of cyber security, the compliance input data of cyber security, or the compliance of cyber security;
• (f) a fuzzy logic algorithm or a set of step-by-step instructions for accounting for inexactness of the requirement input data of cyber security, or inexactness of interpretation of the requirement input data of cyber security;
• (g) an algorithm or a set of step-by-step instructions for a user behavior, or an entity behavior;
• and
• (h) a traceability generation algorithm or a set of step-by-step instructions for tracing the requirement input data of cyber security, or the requirement output data of cyber security,
• wherein the method of requirement, active compliance, active detection and resource management algorithm of cyber security is interfacing with a semantic web, and an algorithm or a set of step-by-step instructions for analysis of a large set of data.

A method of requirement, active compliance, active detection and resource management algorithm for cyber security utilizes:

• a learning computer system,
• wherein the learning computer system comprises:
• a premise computer system, or a mobile computer system, or a cloud computer system,
• wherein the learning computer system further comprises:
• one or more hardware processors, or system on chips based on neural networks, in communication with a non-transitory computer readable medium,
• wherein the non-transitory computer readable medium stores one or more software modules, including step-by-step instructions for the method of requirement, active compliance, active detection and resource management algorithm for cyber security, one or more learning algorithms, and/or quantum computing learning algorithms that are executable by the one or more hardware processors, or system on chips based on neural networks,
• wherein the one or more learning algorithms, and/or quantum computing learning algorithms are coupled with learning and/or adoption and/or data analysis in any cyber security risk in real-time or near real-time,
• wherein the method of requirement, active compliance, active detection and resource management algorithm comprises:
• steps (a), (b), (c), (d), (e) and (f), at least in an ordered manner or an ordered sequence,
• (a) a compliance requirement input collection algorithm or a set of step-by-step instructions for collecting compliance of cyber security, or a compliance input data of cyber security from a data source, or an inputting device;
• (b) a verification algorithm or a set of step-by-step instructions for verifying the compliance input data of cyber security, or the compliance of cyber security;
• (c) a neuro-fuzzy logic algorithm or a set of step-by-step instructions for accounting for inexactness of the compliance input data of cyber security, or the compliance of cyber security;
• (d) an algorithm or a set of step-by-step instructions for a user behavior, or an entity behavior;
• (e) an algorithm or a set of step-by-step instructions for assigning a deceptive network credential in real-time or near real-time;
• and
• (f) a traceability generation algorithm or a set of step-by-step instructions for tracing the compliance input data of cyber security, or the compliance of cyber security,
• wherein the method of requirement, active compliance, active detection and resource management algorithm of cyber security is interfacing with an algorithm or a set of step-by-step instructions for analysis of a large set of data, and a set of encrypted data blocks.

A method of requirement, active compliance, active detection and resource management algorithm for cyber security utilizes:

• a learning computer system,
• wherein the learning computer system comprises:
• a premise computer system, or a mobile computer system, or a cloud computer system,
• wherein the learning computer system further comprises:
• one or more hardware processors, or system on chips based on neural networks, in communication with a non-transitory computer readable medium,
• wherein the non-transitory computer readable medium stores one or more software modules, including step-by-step instructions for the method of requirement, active compliance, active detection and resource management algorithm for cyber security, one or more learning algorithms, and/or quantum computing learning algorithms that are executable by the one or more hardware processors, or system on chips based on neural networks,
• wherein the one or more learning algorithms, and/or quantum computing learning algorithms are coupled with learning and/or adoption and/or data analysis in any cyber security risk in real-time or near real-time,
• wherein the method of requirement, active compliance, active detection and resource management algorithm comprises:
• steps (a), (b) and (c), at least in an ordered manner or an ordered sequence,
• (a) an algorithm or a set of step-by-step instructions for a user behavior, or an entity behavior;
• (b) an algorithm or a set of step-by-step instructions for a deceptive network credential in real-time or near real-time;
• and
• (c) an algorithm or a set of step-by-step instructions for a continuous risk, or trust assessment of cyber security in real-time or near real-time;
• wherein the method of requirement, active compliance, active detection and resource management algorithm of cyber security is coupled with hardware authentication to reduce any risk of cyber security,
• wherein the method of requirement, active compliance, active detection and resource management algorithm of cyber security is further coupled with a semantic web, and an algorithm or a set of step-by-step instructions for analysis of a large set of data.