Improving the Assessment of Personnel Security Level and its Control Using Human Intellectual Activity Simulation Model

Assessment of personnel security level and its control using artificial neural networks and artificial intelligence has been improved. The main personnel security level assessment criteria under the influence of strong negative factors - martial law and Covid -19 pandemic have been determined. The main risks of faulty estimation of personnel security level during (due to) strong influence of negative factors have been established. Implementation algorithm of personnel security control in an organization using human intellectual activity simulation model has been proposed.