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.
Incorrect. You now have a log of employees entering/leaving, and a list of HR records of employees.
How do you propose you will sift through that data or even use it to determine tailgaitng happened?
The answer is Data Analytics. You can use a tool to view the physical security logs, these can quickly search through large amounts of data and will be the most efficient to find situations where an employee say has a log entry of exiting the building, but the is no corresponding entrance log or vice versa, which would indicate tailgating happened on the way or out.
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.
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
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.
upvoted 3 times
...
Log in to ExamTopics
Sign in:
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
FAGFUR
Highly Voted 1 year agochoboanon
2 weeks, 2 days agoSwallows
Most Recent 4 months agofabinho13
7 months, 3 weeks agoKAP2HURUF
10 months, 2 weeks ago