1. Bank Fraud & Data ForensicsBank Taxation & Risk Management ForumsNovember 16, 2010 – South Portland, MaineNovember 17, 2010 – Concord, New HampshirePresented By:Bill Brown, CPA, CFFA, CFE Eigen Heald, MsIA, CISSP, GCFATodd Desjardins, CPA, CFE
2. Overview Introduction Fraud Considerations for Banks Computer Fraud and Data Forensics Questions and Discussion
3. Terms and Definitions Fraud Fraud investigation Forensics Forensic accounting Digital forensics
4. Reference Statistics in this presentation, unless otherwise noted, are from: The Report to the Nations - 2010 Global Fraud Study Study of 1,843 cases of occupational fraud published by the Association of Certified Fraud Examiners
7. Other Disturbing Statistics Median Losses Tenure of perpetrator Less than one year – $47,000 10 years of more – $289,000 Education of perpetrator High School Graduate – $100,000 Postgraduate Degree - $300,000
8. Other Disturbing Statistics Percentage of Cases Reported Department of Perpetrator Accounting – highest – 22.0% Internal Audit – lowest - 0.2% Median Duration of Fraud Schemes Overall – 18 months Check tampering – 24 months Expense reimbursements – 24 months
18. Preventing and Deterring Fraud (Continued) The list continues… Robust review of suspense/clearing account activity – be certain the reconciliation makes sense and items are clearing timely and properly Implement a fraud reporting mechanism that is anonymous Maintain professional skepticism Attitude and rationalization can be improved within companies by strong “tone at the top” and employee appreciation efforts
21. How is the importance of ethical behavior and appropriate business practices communicated?
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23. Common Sources for Accounting & Digital Forensics Corporate investigations • Civil litigation • Attorneys • State Courts • Private Investigations • Individuals
24. Similar Procedures: Discovery • Timelines • Parties involved • Evidence gathering • Reporting/testimony Consider: Most fraud is committed with a computer!
34. Links to documents on the networkExamining user profiles Malware identification
35. How Did Digital Discovery Help? Identifying network activities Email Review Internet activities Identifying collaborators Ruling out other avenues of fraud Identifying motivations for fraud
36. Contact Information Bill Brown bbrown@bdmp.com Eigen Heald eheald@bdmp.com Todd Desjardins tdesjardins@bdmp.com