CPA Fraud Detection Service vs. FraudShare

Benford's law is an effective method for revealing patterns that may indicate fraudulent disbursements. It requires the analysis of audit trail reports from accounting software such as QuickBooks to identify suspicious actions like voids and deletions. Moreover, it also includes the detection of multiple payments made for the same amount on a single day. A comprehensive examination of payroll runs is performed to find any discrepancies, particularly payments that exceed designated salary or hourly rates. Payments made on days when businesses are closed are given extra attention. By employing statistical analyses, outliers that could point to fraud are uncovered, and duplicate payments are verified for accuracy. Furthermore, vendor files in accounts payable are scrutinized for names that may appear strikingly similar, leading to investigations into potential fictitious vendors. Comparisons of vendor addresses and payroll information are assessed through Z-Scores and relative size factor tests. Although data monitoring and unexpected audits have proven to significantly mitigate fraud losses, merely 37% of organizations have implemented these vital controls. For smaller businesses with fewer than 100 employees, the average estimated loss attributed to fraud stands at $200,000, underscoring the fact that these enterprises typically lack sufficient resources to effectively identify and respond to fraudulent activities. Therefore, it becomes crucial for small businesses to embrace more robust fraud detection strategies to protect their financial health and ensure long-term sustainability. By doing so, they can not only detect irregularities but also foster a culture of transparency and accountability within their operations.

FraudShare is a groundbreaking platform developed by LIMRA to address the growing problem of account takeover fraud in the financial services industry. It offers users immediate access to data concerning incidents and indicators of threats associated with ATO attacks, enabling businesses to implement preventative measures against fraudulent activities. Users benefit from timely email alerts and can utilize data export functions or an API, making it easier to recognize and prevent further attacks. The platform's correlation analysis capabilities allow organizations to uncover and link related incidents, revealing additional threat indicators crucial for comprehensive examinations. Moreover, FraudShare supplies important statistics and trends based on authenticated fraud cases, aiding companies in understanding the complexities and consequences of ATO fraud. This extensive pool of information equips organizations to make informed decisions to enhance their fraud prevention strategies and adapt to the constantly evolving threats within the financial sector. As a result, FraudShare not only strengthens individual defenses but also fosters a collaborative approach to combat sophisticated fraud tactics across the industry. In conclusion, its role is vital in improving collective resilience against fraud in an increasingly digital world.