Sarcouncil Journal of Engineering and Computer Sciences

Abstract: Enterprises are increasingly reliant on detailed IT Service Management (ITSM), which is becoming more difficult to sustain in accordance with the demands of safety and regulations. Traditional ITSM risk assessments are not oriented toward the proactive identification of threats. This paper introduces a novel AI-driven risk scoring framework within IT Service Management (ITSM) workflows, designed to enable real-time compliance monitoring and proactive risk mitigation. The proposed approach enhances transparency, predictive capability, and audit readiness, representing a significant step toward autonomous compliance in regulated enterprises.