System and method for continuous AI management and learning

1. A computer-implemented method comprising:

applying, by a computing device, deductive artificial intelligence (AI) attribution and auditability to data inputs, wherein the deductive AI attribution accounts for ontologies and competing system information;

integrating, via a feedback loop, the data inputs applied with the deductive AI attribution and auditability with the inductive AI understanding to align a sense-understand-decide-act (SUDA) understanding with the inductive AI understanding, wherein the inductive AI understanding receives the data inputs in a first format and outputs data in a second format, and wherein the deductive AI attribution receives the output data in the second format from the inductive AI;

automating, via the feedback loop, the inductive AI based upon, at least in part, an AI expert system processing of the data inputs; and

developing one or more policy based rules for user automation authorization based upon, at least in part, the feedback loop.

2. The computer-implemented method of claim 1 wherein processing the data inputs includes indexing the data inputs.

3. The computer-implemented method of claim 1 wherein processing the data inputs includes analyzing the data inputs.

4. The computer-implemented method of claim 1 wherein processing the data inputs includes organizing the data inputs.

5. The computer-implemented method of claim 1 wherein processing the data inputs includes sorting the data inputs.

6. The computer-implemented method of claim 1 wherein the competing system information includes one of cybersecurity threat information and the one or more policy based rules for user automation authorization.

7. The computer-implemented method of claim 1 wherein automating the inductive AI includes automating sensing functions of the inductive AI and understanding and decision and action functions of the deductive AI.

8. A computer program product residing on a computer readable storage medium having a plurality of instructions stored thereon which, when executed across one or more processors, causes at least a portion of the one or more processors to perform operations comprising:

applying deductive artificial intelligence (AI) attribution and auditability to data inputs, wherein the deductive AI attribution accounts for ontologies and competing system information;

integrating, via a feedback loop, the data inputs applied with the deductive AI attribution and auditability with an inductive AI understanding to align a sense-understand-decide-act (SUDA) understanding with the inductive AI understanding, wherein the inductive AI understanding receives the data inputs in a first format and outputs data in a second format, and wherein the deductive AI attribution receives the output data in the second format from the inductive AI;

automating, via the feedback loop, the inductive AI based upon, at least in part, an AI expert system processing of the data inputs; and

developing one or more policy based rules for user automation authorization based upon, at least in part, the feedback loop.

9. The computer program product of claim 8 wherein processing the data inputs includes indexing the data inputs.

10. The computer program product of claim 8 wherein processing the data inputs includes analyzing the data inputs.

11. The computer program product of claim 8 wherein processing the data inputs includes organizing the data inputs.

12. The computer program product of claim 8 wherein processing the data inputs includes sorting the data inputs.

13. The computer program product of claim 8 wherein the competing system information includes one of cybersecurity threat information and the one or more policy based rules for user automation authorization.

14. The computer program product of claim 8 wherein automating the inductive AI includes automating sensing functions of the inductive AI and understanding and decision and action functions of the deductive AI.

15. A computing system including one or more processors and one or more memories configured to perform operations comprising:

applying deductive artificial intelligence (AI) attribution and auditability to data inputs, wherein the deductive AI attribution accounts for ontologies and competing system information;

integrating, via a feedback loop, the data inputs applied with the deductive AI attribution and auditability with an inductive AI understanding to align a sense-understand-decide-act (SUDA) understanding with the inductive AI understanding, wherein the inductive AI understanding receives the data inputs in a first format and outputs data in a second format, and wherein the deductive AI attribution receives the output data in the second format from the inductive AI;

automating, via the feedback loop, the inductive AI based upon, at least in part, an AI expert system processing of the data inputs; and

developing one or more policy based rules for user automation authorization based upon, at least in part, the feedback loop.

16. The computing system of claim 15 wherein processing the data inputs includes indexing the data inputs.

17. The computing system of claim 15 wherein processing the data inputs includes analyzing the data inputs.

18. The computing system of claim 15 wherein processing the data inputs includes organizing the data inputs.

19. The computing system of claim 15 wherein processing the data inputs includes sorting the data inputs.

20. The computing system of claim 15 wherein the competing system information includes one of cybersecurity threat information and the one or more policy based rules for user automation authorization.

21. The computing system of claim 15 wherein automating the inductive AI includes automating sensing functions of the inductive AI and understanding and decision and action functions of the deductive AI.