Analysis Led Fraud Assessment (ALFA)

Steane and Cockerell (2005) developed the Analysis Led Fraud Assessment (ALFA), a method of identifying fraudulent behaviour within an organisation and mitigating against the risk of fraud occurring. Steane and Cockerell (2005) identified that the main benefit of using the ALFA method is its ability to detect fraudulent behaviour and fraud risks which are normally overlooked. The reason such fraudulent behaviour and risk may be overlooked include the pressures of time, operational complexity and poor managerial controls.

The ALFA approach identifies areas of high fraud risk and critical fraud risk to enable organisations to address the risk of fraud. Critical risk is defined as an area of high fraud risk where there are poor or no risk controls in place. For example, internet banking poses a critical risk if there were no username and password protection measures to deny access.

The stages of ALFA are outlined below, with the diagram highlighting the different stages of information used to access a company’s fraud risk:
1.   The receipt of information from the client. Information from an audit, industry specific fraud knowledge repositories
2.   Analysis, assessment and identification of client high fraud vulnerability areas using the fraud profiles and the information gathered in stage one
3.   The development of methodology to investigate these areas
4.   Analysis and assessment of findings and identification of critical fraud vulnerability areas again using the fraud profiles and information gathered
5.   Strategies to identify if fraud is occurring through proactive investigation using the component of the fraud profiles in particular fraud impact/consequence and fraud methods.

Figure 1 - ALFA Staged Processes (Stene and Cockerell, 2005)
Further Reading:

Steane, P., & Cockerell, R. (2005). Developing a fraud profile method – a step in building institutional governance. Retrieved from: http://soc.kuleuven.be/io/ethics/paper/Paper%20WS3_pdf/Peter%20Steane.pdf

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