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  2. 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. Expert systems to encode expertise for detecting ...

  3. Artificial intelligence in fraud detection - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    v. t. e. Artificial intelligence is used by many different businesses and organizations. It is widely used in the financial sector, especially by accounting firms, to help detect fraud. In 2022, PricewaterhouseCoopers reported that fraud has impacted 46% of all businesses in the world. [1] The shift from working in person to working from home ...

  4. 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).

  5. Fraud deterrence - Wikipedia

    en.wikipedia.org/wiki/Fraud_deterrence

    Fraud deterrence is based on the premise that fraud is not a random occurrence; fraud occurs where the conditions are right for it to occur. Fraud deterrence attacks the root causes and enablers of fraud; this analysis could reveal potential fraud opportunities in the process, but is performed on the premise that improving organizational procedures to reduce or eliminate the causal factors of ...

  6. Crime prevention - Wikipedia

    en.wikipedia.org/wiki/Crime_prevention

    There are a number of issues that make the development of fraud management systems an extremely difficult and challenging task, including the huge volume of data involved; the requirement for fast and accurate fraud detection without inconveniencing business operations; the ongoing development of new fraud to evade existing techniques; and the ...

  7. File:Data analytics in procurement fraud prevention (IA ...

    en.wikipedia.org/wiki/File:Data_analytics_in...

    The results of this research study will be a recommendation on the use of data analytics as a tool to detect anomalies that may indicate procurement fraud in DOD organizations. Subjects: Procurement fraud; fraud prevention; data analytics; data analytics program; fraud schemes

  8. Fraud Enforcement and Recovery Act of 2009 - Wikipedia

    en.wikipedia.org/wiki/Fraud_Enforcement_and...

    Signed into law by President Barack Obama on May 20, 2009. The Fraud Enforcement and Recovery Act of 2009, or FERA, Pub. L. 111–21 (text) (PDF), S. 386, 123 Stat. 1617, enacted May 20, 2009, is a public law in the United States enacted in 2009. The law enhanced criminal enforcement of federal fraud laws, especially regarding financial ...

  9. Fraud - Wikipedia

    en.wikipedia.org/wiki/Fraud

    In law, fraud is intentional deception to secure unfair or unlawful gain, or to deprive a victim of a legal right. Fraud can violate civil law (e.g., a fraud victim may sue the fraud perpetrator to avoid the fraud or recover monetary compensation) or criminal law (e.g., a fraud perpetrator may be prosecuted and imprisoned by governmental ...