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  2. Certified Fraud Examiner - Wikipedia

    en.wikipedia.org/wiki/Certified_Fraud_Examiner

    Fraud Prevention and Deterrence - Tests your knowledge of why people commit fraud and what can be done to prevent it. Topics include: Auditors' Fraud-Related Responsibilities, Corporate Governance, Ethics for Fraud Examiners, Fraud Prevention Programs, Fraud Risk Assessment, Fraud Risk Management, Management's Fraud-Related Responsibilities ...

  3. Association of Certified Fraud Examiners - Wikipedia

    en.wikipedia.org/wiki/Association_of_Certified...

    The Association of Certified Fraud Examiners (ACFE) is a professional organization of fraud examiners. Its activities include producing fraud information, training and tools. Based in Austin, Texas, the ACFE was founded in 1988 by Joseph T. Wells. The ACFE grants the professional designation of Certified Fraud Examiner [2] (abbreviated CFE).

  4. Statement on Auditing Standards No. 99: Consideration of Fraud

    en.wikipedia.org/wiki/Statement_on_Auditing...

    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).

  5. Control self-assessment - Wikipedia

    en.wikipedia.org/wiki/Control_self-assessment

    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.

  6. Data analysis for fraud detection - Wikipedia

    en.wikipedia.org/wiki/Data_analysis_for_fraud...

    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.

  7. Elizabeth Holmes' cross-examination in fraud case is 'pretty ...

    www.aol.com/finance/elizabeth-holmes-cross...

    During his cross-examination, Leach pressed Holmes on her efforts to kill a 2015 investigative report in the Wall Street Journal by John Carreyrou that exposed Theranos' flawed technology. That ...

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  9. SOX 404 top–down risk assessment - Wikipedia

    en.wikipedia.org/wiki/SOX_404_top–down_risk...

    The risk that senior management might override important financial controls to manipulate financial reporting is also a key area of focus in the fraud risk assessment. [11] In practice, many companies combine the objective and risk statements when describing MMR. These MMR statements serve as a target, focusing efforts to identify mitigating ...

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