IT service operations involve handling sensitive customer data, which gets logged into the system in the form of tickets describing the issues faced by customer. An authorized agent tasked with resolving a ticket may get exposed to sensitive customer information, which can lead to privacy breach, impacting the customer and potentially damaging the reputation of the organization. To address this issue, we propose a framework that minimizes sensitive data exposure to preserve privacy in IT service operations. Our framework quantifies the sensitive data misuse by an agent based on the information aggregated at their end. The sensitive data within ticket is masked and the flow of ticket is regulated to restrict the sensitive data aggregation. Additionally, we introduce a simulator, PESO (Privacy Enabled Service Operation), to study and demonstrate the implications of privacy settings on various service operation parameters.