Page 125 - Auditinf Electronic System

Seventh: Tools used to detect electronic Fraud

As fraud became increasingly digital chances of committing electronic fraud
increased and further chances of discovery by auditors decreased because of
each of the following:

▪ complexity of electronic operating systems, and applications used
▪ the possibility of unauthorized access to data and basic files,
▪ Hacking the systems and corrupting data bases & files.
▪ the reduction in the time and cost required to commit it, and the difficulty of

discovering it as a result of the geographical separation of the audit client
workers.
▪ The need for advanced tools to help auditors in detecting fraud as

1. Fraud Prediction Models:

Models based on financial information that can classify firms to firms with high
possibility of fraud and firms with low possibility of fraud as

▪ Benish M model
▪ P model
▪ Z model

2. Data analytics role on auditing

Cloud computing allows companies to consolidate data across locations and
search for and detect unusual patterns in real time. Enable continuous analyzes,
models, and visualizes data for the purpose of providing effective, efficient, and real-
time assurance by:

▪ discover patterns,
▪ identify anomalies,
▪ identifying relations

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‫جميع الحقوق محفوظة ـ الإعتداء على حق المؤلف بالنسخ أو الطباعة يعرض فاعله للمسائلة القانونية‬