Introducing Automation in Risk Mitigation Phase Following Successful Automation of the Risk Assessment Phase

Abstract

Automation of processes is gaining popularity in the context of modern IT ecosystems since this technology automates complex operational processes, including risk management. Although the technology capable of automatically determining and analysing the risks has already gained quite a momentum in the process of establishing various sources of potential weaknesses, risk mitigation is still somewhat reactive and not entirely automated. In this paper we propose a well-planned gradual process to managing risk that takes this idea of automation into the next phase because of the success of such a method in the risk evaluation process. The suggested framework incorporates artificial intelligent rule based systems, real time data analytics, and feedback driven control loop to achieve proactive adjustive responses to recognized risk. Test-based evidence proves that innovative validation in a simulated IT Service Management (ITSM) setting achieves notable enhancement in the risk response accuracy, operational continuity, and incident recovery time. The results justify the usage of full-cycle automation in risk management of IT functions and initiate scalable applications in various enterprise systems.