Blog on reducing fraud risks within housing recovery programs | September 2024
The US Department of Housing and Urban Development (HUD) Community Development Block Grant Disaster Recovery (CDBG-DR) program plays a pivotal role in funding the long-term recovery of communities most impacted by disasters. However, ensuring the efficiency, performance, and accountability of such significant financial assistance is a complex challenge, especially when it comes to mitigating fraud. Fraud within CDBG-DR can take many forms, such as false claims of damage, inflated costs, misrepresentation of needs, conflicts of interest, and diversion of funds for unintended purposes.
In this blog, we highlight some demonstrated approaches that state and local governments can implement to help reduce fraud risks within CDBG-DR programs. By focusing on three key areas—preventing applicant identity misrepresentation, detecting fraudulent activities in payments and billing, and identifying conflicts of interest among stakeholders—we outline practical, technology-driven tactics that can help bolster program integrity and help confirm CDBG-DR funds make it to those most in need of them.
Ensuring that aid reaches the right hands begins with robust verification processes to prevent misrepresentations and false eligibility claims. Advanced identification verification technologies that utilize ID configuration and two-factor authentication mechanisms are essential first steps in safeguarding the application process against unauthorized access and bot activities. Additionally, integrating case management systems with application programming interfaces (APIs) can further enhance the ability to detect suspicious activities.
Geospatial technologies play a crucial role in validating applicant information. By using reliable geo mapping and address lookup applications, programs can verify street addresses accurately. Geofencing IP addresses is a tactic that can be used to ensure that only users from eligible regions can access the application portal, further tightening program security.
The next layer of defense against fraud involves the detection and handling of falsified documents and payment anomalies. Falsified documents, such as forged income statements or fabricated claims of property damage, can lead to funds being wrongly awarded to ineligible applicants. This not only diverts resources away from those truly in need but also undermines the program’s mission to assist the most vulnerable populations affected by disasters.
Machine learning models offer a powerful tool for analyzing data patterns and identifying irregularities, such as forged documents. Utilizing the free services offered by the US Bureau of Fiscal Services, including APIs for data sharing, can significantly enhance the detection of payment anomalies.
Artificial intelligence (AI) and natural language processing technologies can sift through vast quantities of transactions to spot discrepancies and flag potential fraud. These advanced analytical tools allow for a more nuanced understanding of data, enabling programs to detect and address fraud more effectively.
The integrity of the CDBG-DR program also depends on the proactive identification of conflicts of interest, corruption, and potential bribery kickbacks. Performing risk-based integrity due diligence on third parties involves thorough research into publicly available information and assessing the risk profiles of vendors, consultants, and other partners. Key areas of focus include a subject’s background, regulatory status, ownership details, and any adverse reputational media, particularly those indicating conflicts of interest or financial misconduct.
By adopting these strategies, state and local governments can significantly enhance the efficiency, performance, and accountability of HUD CDBG-DR programs. Leveraging technology to mitigate fraud not only ensures that aid is delivered to those in genuine need but also upholds the integrity of disaster recovery efforts, fostering trust and confidence in the administration of these critical programs. However, navigating the complexities of fraud requires not just robust technology but also deep expertise and a nuanced understanding of regulatory environments and programmatic challenges.
At KPMG, our dedicated team of professionals has extensive experience in assisting state and local governments to fortify their disaster recovery programs against fraud. Our experience ranges from implementing advanced analytical tools and technologies to providing strategic insights on regulatory compliance and program integrity.
Don’t let the challenges of fraud undermine the impact of your disaster recovery efforts. Reach out to talk about strategies for your organization.
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