Compare FraudPoint vs. CPA Fraud Detection Service

Stay ahead of the ever-changing landscape of threats with cutting-edge fraud detection technology that not only enhances efficiency but also helps in cost reduction. LexisNexis FraudPoint utilizes sophisticated analytics to uncover fraudulent applications by tapping into extensive and dynamic identity and digital intelligence. The data is consistently refreshed, allowing you to stay one step ahead of fraudsters. With FraudPoint solutions, organizations can pinpoint instances of fraud before any application is finalized, effectively catching synthetic identities and various other fraudulent activities, which leads to a notable decrease in fraud incidents and financial losses. By streamlining the investigative process, FraudPoint significantly cuts down on administrative expenses related to ineffective inquiries, thereby positively impacting your financial performance. Moreover, this analytic suite provides access to some of the most credible fraud prevention data and insights, including vital digital analytics, enhancing the capacity to detect a wide range of fraudulent behaviors. The comprehensive nature of FraudPoint ensures that organizations are not only equipped to handle current threats but are also prepared for future challenges in fraud detection.

Benford's law serves as a tool for uncovering patterns indicative of improper disbursements. It involves examining audit trail reports from QuickBooks or other bookkeeping software to pinpoint unusual activities like voids and deletions. Additionally, it entails identifying multiple payments made for identical amounts on the same day. A thorough review of payroll runs is conducted to detect any payments exceeding the established salary or hourly rates. Payments made on non-business days are also scrutinized. Statistical calculations help in identifying outliers that may suggest fraudulent activity, and duplicate payments are tested for validation. Vendor files in accounts payable are analyzed for names that may be suspiciously similar, and investigations are conducted to uncover fictitious vendors. Comparisons of vendor and payroll addresses are evaluated using Z-Scores and relative size factor tests. While data monitoring and surprise audits have shown to significantly reduce fraud losses, only 37% of organizations implement these critical controls. For businesses employing fewer than 100 individuals, the average loss due to fraud is estimated at $200,000, highlighting that smaller enterprises often lack the necessary resources to effectively detect and address fraudulent activities. Consequently, it is essential for small businesses to adopt more robust fraud detection mechanisms to safeguard their financial integrity.