Abstract: A system for a dynamically evolving cognitive architecture for the development of a secure key and confidence level based data derived from biometric sensors and a user's behavioral activities. The system comprises one or more processors, one or more sensors, one or more databases, and non-transitory computer readable memory. The non-transitory computer readable memory comprises a plurality of executable instructions wherein the instructions, when executed by the one or more processors, cause the one or more processors to process operations comprising creating a set of policies based on user data sets and inputs, creating a faceted classification, establishing a Trust Level, processing sensor data, comparing data to one or more databases, correlating data, updating Trust Levels, updating security keys, and storing the keys in memory. In certain embodiments, the stored data is used to create a usage schema independent from a user's actual identity.

Abstract: A system for a dynamically evolving cognitive architecture for the development of a secure key and confidence level based data derived from biometric sensors and a user's behavioral activities. The system comprises one or more processors, one or more sensors, one or more databases, and non-transitory computer readable memory. The non-transitory computer readable memory comprises a plurality of executable instructions wherein the instructions, when executed by the one or more processors, cause the one or more processors to process operations comprising creating a set of policies based on user data sets and inputs, creating a faceted classification, establishing a Trust Level, processing sensor data, comparing data to one or more databases, correlating data, updating Trust Levels, updating security keys, and storing the keys in memory. In certain embodiments, the stored data is used to create a usage schema independent from a user's actual identity.

Abstract: A system for a dynamically evolving cognitive architecture for the development of a secure key and confidence level based data derived from biometric sensors and a user's behavioral activities. The system comprises one or more processors, one or more sensors, one or more databases, and non-transitory computer readable memory. The non-transitory computer readable memory comprises a plurality of executable instructions wherein the instructions, when executed by the one or more processors, cause the one or more processors to process operations comprising creating a set of policies based on user data sets and inputs, creating a faceted classification, establishing a Trust Level, processing sensor data, comparing data to one or more databases, correlating data, updating Trust Levels, updating security keys, and storing the keys in memory. In certain embodiments, the stored data is used to create a usage schema independent from a user's actual identity.