Newly Released Isaca CISA Exam PDF

Benford's Law analyzes numerical data to detect anomalies based on the frequency distribution of leading digits. For it to be effective, the dataset must follow specific criteria, including consistency in measurement units. If transactions are in different currencies, the leading digits can vary due to currency conversion rates, invalidating the analysis.

Double Integer Format (Option A):Benford’s Law applies to any set of numerical data, not specifically double integers.

Random Selection of Transactions (Option B):The data set must represent the entire population, not a random selection.

Limiting Analysis to Standard Deviations (Option C):This is irrelevant to the application of Benford's Law.

Deep packet inspection (DPI) is a core capability of data loss prevention (DLP) tools that allows the analysis of the content of data packets in transit. This helps detect the unauthorized movement of sensitive data by examining packet-level details.

Network Traffic Logs (Option A):These provide historical data but do not actively detect data in transit.

Data Inventory (Option C):Useful for identifying where sensitive data resides but not for monitoring its movement.

Proprietary Encryption (Option D):Protects data but does not detect unauthorized transmission.