Computer security based on artificial intelligence

A Lexical Objectivity Mining (LOM) having a memory and a processor that is coupled to the memory, wherein the LOM comprises:

• a) Initial Query reasoning (IQR), to which a question is transferred, and which leverages Central Knowledge Retention (CKR) to decipher missing details that are crucial in understanding and answering/responding to the question;
• b) Survey Clarification (SC), to which the question and supplemental query data is transferred, and which receives input from and send output to a human subject, and forms Clarified Question/Assertion;
• c) Assertion Construction (AC), which receives a proposition in the form of an assertion or question and provides output of the concepts related to such proposition;
• d) Response Presentation, which is an interface for presenting a conclusion drawn by AC to both Human Subject and Rational Appeal (RA);
• e) Hierarchical Mapping (HM), which maps associated concepts to find corroboration or conflict in Question/Assertion consistency, and calculates the benefits and risks of having a certain stance on a topic;
• f) Central Knowledge Retention (CKR), which is a main database for referencing knowledge for LOM;
• g) Knowledge Validation (KV), which receives high confidence and pre-criticized knowledge which needs to be logically separated for query capability and assimilation into the CKR;
• h) Accept Response, which is a choice given to the Human Subject to either accept the response of LOM or to appeal it with a criticism, wherein if the response is accepted, then it is processed by KV so that it can be stored in CKR as confirmed (high confidence) knowledge, wherein should the Human Subject not accept the response, they are forwarded to the RA, which checks and criticizes the reasons of appeal given by Human;
• i) Managed Artificially Intelligent Services Provider (MAISP), which runs an internet cloud instance of LOM with a master instance of the CKR, and connects LOM to Front End Services, Back End Services, Third Party Application Dependencies, Information Sources, and a MNSP Cloud.