Abstract: Embodiments are directed to systems and methods configured to detect malware vulnerabilities in computational environments. The method includes receiving input data distributed among a plurality of nodes within a particular network, receiving the input data into a curator engine to convert the at least one input data into a payload having at least one message header, receiving the payload having the at least one message header into a transaction engine, and storing the payload having the at least one message header into a blockchain database. The method continues by processing the payload having the at least one message header to make a decision to transform or analyze the transaction based on a predetermined set of rules, converting the payload into a data file, evaluating the data file, aggregating the data file for a plurality of behavior models, and converting the data file into a valid message payload with a header.

Abstract: Embodiments are directed to systems and methods configured to gather, transmit, share and process security related data between end users and security applications/devices across multiple platforms using blockchain open implementation as the backend and smart contracts integrated with artificial intelligence and behavior analysis using rule engines to enforce/implement data decisions. The system is designed to continuously predict, monitor, prevent, detect, response and mitigate cyber threats. The process includes a self-enforced adaptable engine that has a fast incident response time and makes quick smart decisions. This is a resilient system that is constantly capturing data, learning, tracking and enforcing. Computational power is maximized by leveraging smart contracts to validate transactions between network devices, share encrypted and protected information about their functions, events across the network of nodes and make smart swarm decisions.

Abstract: Embodiments are directed to systems and methods configured to gather, transmit, share and process security related data between end users and security applications/devices across multiple platforms using blockchain open implementation as the backend and smart contracts integrated with artificial intelligence and behavior analysis using rule engines to enforce/implement data decisions. The system is designed to continuously predict, monitor, prevent, detect, response and mitigate cyber threats. The process includes a self-enforced adaptable engine that has a fast incident response time and makes quick smart decisions. This is a resilient system that is constantly capturing data, learning, tracking and enforcing. Computational power is maximized by leveraging smart contracts to validate transactions between network devices, share encrypted and protected information about their functions, events across the network of nodes and make smart swarm decisions.