Data Security SOP

This detailed SOP provides IT professionals with a structured framework for managing data security.
It includes:
– Step-by-Step Process Flow: Outlines essential subprocesses such as Data Identification, Security Implementation, and Incident Management, with clear actions, decision points, and error-handling procedures to ensure effective data protection.
– Risk Management: Identifies key risks such as data breaches, inadequate data classification, and vulnerability exploitation, with mitigation strategies including encryption, access controls, regular audits, and continuous monitoring to minimise the risks associated with data security.
– Compliance and Regulatory Requirements: Ensures adherence to relevant regulations, including GDPR and ISO/IEC 27001 standards, with compliance audits, data protection protocols, and training programs to ensure legal compliance throughout the data security process.
– Key Performance Indicators (KPIs) and Controls: Defines KPIs such as data classification accuracy, incident response times, and employee training completion rates, with controls like regular compliance audits, monitoring systems, and continuous employee training to enhance process effectiveness.
– RACI Framework: Clearly defines roles and responsibilities for each task in the data security process, ensuring that data managers, security officers, IT support, and training coordinators are accountable and involved at each stage.
– Systems Requirements: Details the necessary systems, including a Data Classification System, Security Policy Management System, Monitoring and Alerting System, and Incident Response Management System, to support the data security process and ensure compliance and data protection.
– Appendices: Provides practical resources such as data identification checklists, security implementation terms of reference, and real-life case studies to guide users through each stage of the data security process.