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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.
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 has brought increased access to data.
Forensic accounting, forensic accountancy or financial forensics is the specialty practice area of accounting that investigates whether firms engage in financial reporting misconduct, [1] or financial misconduct within the workplace by employees, officers or directors of the organization. [2]
It's no secret that fraud is on the rise between investing schemes and elaborate banking scams as criminals become more sophisticated. According to Truecaller, Americans lost almost $40 billion to ...
In many instances, bank fraud is a criminal offence. While the specific elements of particular banking fraud laws vary depending on jurisdictions, the term bank fraud applies to actions that employ a scheme or artifice, as opposed to bank robbery or theft. For this reason, bank fraud is sometimes considered a white-collar crime. [2]
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]