1. A risk assessment method comprising: receiving, by an inference engine within a computing system, first sensor cohort data associated with a first cohort, said first cohort located within an aircraft; receiving, by said inference engine, first group technology inferences associated with said first cohort; generating, by said inference engine, first risk cohort inferences, said generating said first risk cohort inferences based on said first group technology inferences and said first sensor cohort data; receiving, by said inference engine, first inference data generated by said inference engine, said first inference data comprising a first plurality of inferences associated with said first cohort and a security perimeter area surrounding an airport; receiving, by said inference engine, second inference data generated by said inference engine, said second inference data comprising a second of plurality of inferences associated with said first cohort and a pre/post security area within said airport; receiving, by said inference engine, third inference data generated by said inference engine, said third inference data comprising a third of plurality of inferences associated with said first cohort and a gate area within said airport; receiving, by said inference engine, fourth inference data generated by said inference engine, said fourth inference data comprising a fourth of plurality of inferences associated with said first cohort and said aircraft; generating, by said inference engine, fifth inference data, said fifth inference data comprising a fifth plurality of inferences associated with said first cohort and said aircraft, wherein said generating said fifth inference data is based on said first risk cohort inferences, said first inference data, said second inference data, said third inference data, and said fourth inference data; generating, by said inference engine based on said fifth inference data, a first associated risk level score for said first cohort; and storing, by said computing system, said fifth inference data and said first associated risk level score.
1. A risk assessment method comprising: receiving, by an inference engine within a computing system, first sensor cohort data associated with a first cohort, said first cohort located within an aircraft; receiving, by said inference engine, first group technology inferences associated with said first cohort; generating, by said inference engine, first risk cohort inferences, said generating said first risk cohort inferences based on said first group technology inferences and said first sensor cohort data; receiving, by said inference engine, first inference data generated by said inference engine, said first inference data comprising a first plurality of inferences associated with said first cohort and a security perimeter area surrounding an airport; receiving, by said inference engine, second inference data generated by said inference engine, said second inference data comprising a second of plurality of inferences associated with said first cohort and a pre/post security area within said airport; receiving, by said inference engine, third inference data generated by said inference engine, said third inference data comprising a third of plurality of inferences associated with said first cohort and a gate area within said airport; receiving, by said inference engine, fourth inference data generated by said inference engine, said fourth inference data comprising a fourth of plurality of inferences associated with said first cohort and said aircraft; generating, by said inference engine, fifth inference data, said fifth inference data comprising a fifth plurality of inferences associated with said first cohort and said aircraft, wherein said generating said fifth inference data is based on said first risk cohort inferences, said first inference data, said second inference data, said third inference data, and said fourth inference data; generating, by said inference engine based on said fifth inference data, a first associated risk level score for said first cohort; and storing, by said computing system, said fifth inference data and said first associated risk level score. 2. The method of claim 1 , further comprising: receiving, by said inference engine, second sensor cohort data associated with a second cohort, said second cohort located within said aircraft; receiving, by said inference engine, second group technology inferences associated with said second cohort; generating, by said inference engine, second risk cohort inferences, said generating said second risk cohort inferences based on said second group technology inferences and said second sensor cohort data; receiving, by said inference engine, sixth inference data generated by said inference engine, said sixth inference data comprising a sixth plurality of inferences associated with said second cohort and said security perimeter area surrounding said airport; receiving, by said inference engine, seventh inference data generated by said inference engine, said seventh inference data comprising a seventh plurality of inferences associated with said second cohort and said pre/post security area within said airport; receiving, by said inference engine, eighth inference data generated by said inference engine, said eighth inference data comprising an eighth plurality of inferences associated with said second cohort and said gate area within said airport; generating, by said inference engine, ninth inference data, said ninth inference data comprising a ninth plurality of inferences associated with said second cohort, wherein said generating said ninth inference data is based on second risk cohort inferences, said sixth inference data, said seventh inference data, and said eighth inference data; generating, by said inference engine based on said ninth inference data, a second associated risk level score for said second cohort; and storing, by said computing system, said ninth inference data and said second associated risk level score.