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The Certified Fraud Examiner (CFE) is a credential awarded by the Association of Certified Fraud Examiners (ACFE) since 1989. [1] The ACFE association is a provider of anti-fraud training and education. Founded in 1988 by Dr. Joseph T Wells. The ACFE established and administers the Certified Fraud Examiner (CFE) credential. [2]
SAS 99 defines fraud as an intentional act that results in a material misstatement in financial statements. There are two types of fraud considered: misstatements arising from fraudulent financial reporting (e.g. falsification of accounting records) and misstatements arising from misappropriation of assets (e.g. theft of assets or fraudulent expenditures).
Control self-assessment creates a clear line of accountability for controls, reduces the risk of fraud (by examining data that may flag unusual patterns of transactions) and results in an organisation with a lower risk profile. [4] [5] A number of other soft benefits have been claimed for organisations performing control self-assessment.
MMR may arise within the accounting function (e.g., regarding estimates, judgments, and policy decisions) or the internal and external environment (e.g., corporate departments that feed the accounting department information, economic and stock market variables, etc.) Communication interfaces, changes (people, process or systems), fraud ...
An IT audit is different from a financial statement audit.While a financial audit's purpose is to evaluate whether the financial statements present fairly, in all material respects, an entity's financial position, results of operations, and cash flows in conformity to standard accounting practices, the purposes of an IT audit is to evaluate the system's internal control design and effectiveness.
Fraud detection is a knowledge-intensive activity. The main AI techniques used for fraud detection include: . Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related to fraud.
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Cathy E. Moore described the totality of the circumstances test as a "balancing approach" rather than a strict application of "analytical and evidentiary rules", [5] and Michael Coenen wrote that a totality of the circumstances test is the "antithesis" of an "inflexible checklist". [6]