Which of the following is MOST useful for matching records of incoming and outgoing personnel to identify tailgating in physical security logs?
Which of the following is MOST useful for matching records of incoming and outgoing personnel to identify tailgating in physical security logs?
Data analytics tools are most useful for matching records of incoming and outgoing personnel to identify tailgating in physical security logs. These tools can effectively analyze and cross-reference large sets of security log data to detect patterns, anomalies, and discrepancies that might indicate instances of tailgating. They provide a proactive and comprehensive approach to identifying security issues in real-time, making them more suitable for the task compared to other methods.
Reconciliation with HR records is the MOST useful method for matching records of incoming and outgoing personnel to identify tailgating in physical security logs. By comparing security logs with HR records, organizations can ensure that individuals entering or leaving the premises align with the expected personnel movements. This helps in detecting instances of tailgating, where unauthorized individuals follow authorized personnel through access points. While data analytics tools and continuous auditing can play a role in analyzing large datasets and monitoring ongoing activities, reconciling with HR records provides a direct link between personnel data and physical security logs, making it a more targeted and effective approach for identifying tailgating incidents.
Reconciliation with HR records would help in verifying the legitimacy of the personnel entering or exiting but wouldn't be as effective in detecting tailgating incidents where an unauthorized individual follows an authorized person. Therefore, data analytics tools are the most relevant and effective choice for this specific requirement.
Data analytics can be effective for an IS auditor in both the planning and fieldwork phases of the audit. Data analytics can be used to accomplish the following: Matching ingress with egress records to identify tailgating in physical security logs. CISA CRM
Data analytics tools can effectively analyze and cross-reference large sets of security logs to detect patterns and anomalies, such as instances of tailgating. While reconciliation with HR records (option D) is important, data analytics tools provide a more proactive and comprehensive approach to identifying such security issues in real-time.