Cyber threat scoring, cyber security training and proactive defense by machine and human agents incentivized with digital assets

A processor based system for addressing threats that are harmful to computer systems of users, the system being usable with a community of assessment and mitigation agents upon detection of the threats, the threats including a newly detected threat and previously detected threats, the system performing steps comprising:

• classifying the detected threats based on aspects of the newly detected threat that are similar to the previously detected threats;
• categorizing the classified, newly detected threat based on assessed techniques for analyzing and mitigating the classified, newly detected threat;
• storing the categorized, classified, newly detected threats to threat library;
• enabling the community of assessment and mitigation agents to access the stored, categorized, classified, newly detected threat and to provide analytics and mitigation information for analyzing and mitigating the categorized, classified, newly detected threat;
• determining relevancy of the provided analytics and mitigation information to assign a relative skill level rating of the assessment and mitigation agents;
• and
• identifying at least one of the mitigation agents most capable of handling the newly detected threat, based on the assigned skill level, wherein the step of storing a categorized, classified, newly detected threat occurs in a blockchain enabled digital instrument on a decentralized server with a smart contract.