Threat mitigation system and method
A computer-implemented method, computer program product and computing system including defining a training routine for a specific attack of a computing platform. A simulation of the specific attack may be generated by executing the training routine within a controlled test environment. A trainee may be allowed to view the simulation of the specific attack, wherein the trainee is an individual.
1. A computer-implemented method, executed on a computing device, comprising:
utilizing artificial intelligence/machine learning to define a training routine for a specific attack of a computing platform;
analyzing the requirements of the training routine to determine a quantity of entities required to effectuate the selected training routine;
generating one or more virtual machines to emulate the one or more required entities;
generating a simulation of the specific attack by executing the training routine within a controlled test environment;
allowing a trainee to view the simulation of the specific attack, wherein the trainee is an individual;
allowing the trainee to provide a trainee response to the simulation of the specific attack; and
utilizing artificial intelligence/machine learning to revise the training routine for the specific attack based upon, at least in part, the trainee response.
2. The computer-implemented method of claim 1 wherein generating a simulation of the specific attack by executing the training routine within a controlled test environment includes:
rendering the simulation of the specific attack on the controlled test environment.
3. The computer-implemented method of claim 1 further comprising:
determining the effectiveness of the trainee response.
4. The computer-implemented method of claim 3 wherein determining the effectiveness of the trainee response includes:
assigning a grade to the trainee response.
5. The computer-implemented method of claim 1 wherein the controlled test environment is a virtual machine executed on a computing device.
6. A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
utilizing artificial intelligence/machine learning to define a training routine for a specific attack of a computing platform;
analyzing the requirements of the training routine to determine a quantity of entities required to effectuate the selected training routine;
generating one or more virtual machines to emulate the one or more required entities;
generating a simulation of the specific attack by executing the training routine within a controlled test environment;
allowing a trainee to view the simulation of the specific attack, wherein the trainee is an individual;
allowing the trainee to provide a trainee response to the simulation of the specific attack; and
utilizing artificial intelligence/machine learning to revise the training routine for the specific attack based upon, at least in part, the trainee response.
7. The computer program product of claim 6 wherein generating a simulation of the specific attack by executing the training routine within a controlled test environment includes:
rendering the simulation of the specific attack on the controlled test environment.
8. The computer program product of claim 6 further comprising:
determining the effectiveness of the trainee response.
9. The computer program product of claim 8 wherein determining the effectiveness of the trainee response includes:
assigning a grade to the trainee response.
10. The computer program product of claim 6 wherein the controlled test environment is a virtual machine executed on a computing device.
11. A computing system including a processor and memory configured to perform operations comprising:
utilizing artificial intelligence/machine learning to define a training routine for a specific attack of a computing platform;
analyzing the requirements of the training routine to determine a quantity of entities required to effectuate the selected training routine;
generating one or more virtual machines to emulate the one or more required entities;
generating a simulation of the specific attack by executing the training routine within a controlled test environment;
allowing a trainee to view the simulation of the specific attack, wherein the trainee is an individual;
allowing the trainee to provide a trainee response to the simulation of the specific attack; and
utilizing artificial intelligence/machine learning to revise the training routine for the specific attack based upon, at least in part, the trainee response.
12. The computing system of claim 11 wherein generating a simulation of the specific attack by executing the training routine within a controlled test environment includes:
rendering the simulation of the specific attack on the controlled test environment.
13. The computing system of claim 11 further comprising:
determining the effectiveness of the trainee response.
14. The computing system of claim 13 wherein determining the effectiveness of the trainee response includes:
assigning a grade to the trainee response.
15. The computing system of claim 11 wherein the controlled test environment is a virtual machine executed on a computing device.