Continuous Auditing and Monitoring Flashcards
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Read the first 6 Continuous Auditing and Monitoring flashcards as text
Which framework specifically provides guidance on implementing continuous auditing and continuous monitoring in organizations?
Answer: AICPA/CICA Continuous Auditing Research Study
The AICPA/CICA joint research study is the foundational guidance document specifically addressing the design and implementation of continuous auditing programs.
In a continuous auditing program, the term 'false positive rate' refers to:
Answer: The percentage of alerts that, upon investigation, turn out to be non-issues
False positives are alerts triggered on legitimate transactions; a high false positive rate wastes auditor time and reduces trust in the monitoring system.
Which data analytics technique is MOST appropriate for detecting unusual clusters of similar transactions that may indicate collusion?
Answer: Cluster analysis
Cluster analysis groups transactions by similarity, making it effective at surfacing groups of transactions that share suspicious characteristics suggesting coordinated activity.
An audit team wants to monitor 100% of procurement transactions for policy violations rather than testing a sample. This approach is called:
Answer: Continuous transaction monitoring
Continuous transaction monitoring applies automated rules to every transaction in real time, providing 100% coverage without sampling.
When auditors use ACL (Audit Command Language) or IDEA for continuous data analysis, which capability is MOST valuable for ongoing monitoring?
Answer: Scheduled automated scripts that run tests and export exceptions on a defined frequency
Scheduled automated scripts enable continuous auditing by running the same tests repeatedly at defined intervals and surfacing new exceptions without manual intervention.
The concept of 'audit analytics maturity' in a continuous auditing program progresses from which starting point to which end state?
Answer: From ad hoc data queries to fully integrated real-time risk-based monitoring
Maturity models for audit analytics describe a journey from basic, infrequent queries toward sophisticated, automated, risk-driven continuous monitoring embedded in operations.