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The Internal Fraud Database allows participating organisations to exchange details of cases where an applicant or member of staff is considered to have acted fraudulently. [6] Individuals suspected of committing fraud can have a fraud marker placed against them, and they may be denied financial services such as mortgages, credit or even phone ...
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.
Cifas is a British fraud prevention service, a not-for-profit membership organization for all sectors that enables organizations to share and access fraud data using their databases. Cifas is dedicated to the prevention of fraud, including internal fraud by staff, and the identification of financial and related crime.
An information flow diagram (IFD) is a diagram that shows how information is communicated (or "flows") from a source to a receiver or target (e.g. A→C), through some medium. [1]: 36–39 The medium acts as a bridge, a means of transmitting the information. Examples of media include word of mouth, radio, email, etc.
A team member with extensive experience of the processes and internal controls in the relevant area of the investigated company and; A forensic scientist who is familiar with patterns of fraudulent behaviour. After an initial analysis phase using methods of explorative data analysis the following phase is usually highly iterative. Starting with ...
Insider threat is an active area of research in academia and government. The CERT Coordination Center at Carnegie-Mellon University maintains the CERT Insider Threat Center, which includes a database of more than 850 cases of insider threats, including instances of fraud, theft and sabotage; the database is used for research and analysis. [2]
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FinCEN organization chart. As of November 2013, FinCEN employed approximately 340 people, mostly intelligence professionals with expertise in the financial industry, illicit finance, financial intelligence, the AML/CFT (anti-money laundering / combating the financing of terrorism) regulatory regime, computer technology, and enforcement". [9]