WATCH NOW
At this very moment, taxpayer funds for desperately needed government programs are being stolen by fraudsters. The critical need for assistance during the pandemic, coupled with the flow of additional program funds and overwhelming workloads, has created massive opportunities for criminals.
Watch this webinar and discover 10 ways to identify potential instances of fraud in government programs such as Medicaid, SNAP, WIC, unemployment, and the CARES Act. We’ll share how our customers have used data automation to quickly identify, remediate, and report on issues, and how they plan to monitor issues in the future.
You'll also learn:
- How machine learning can help flag misclassified financial transactions
- Techniques, with examples, for identifying duplicate contractor spend
- How to acquire datasets for enriching your data to detect fraud, waste, and abuse
- How to apply Benford's Law to detect kickback schemes
- How public APIs can be leveraged to detect mileage fraud, monitor for tax revenue risk, and prevent cyberattacks
- How to leverage geotagging, adverse media, and risk intelligence monitoring
Phil Lim
Senior Product Manager, Galvanize
Phil Lim is a senior product manager at Galvanize. He has eleven years of experience advising audit, risk, compliance, and finance teams of Fortune 500 organizations as well as all levels of government. Phil has deep experience implementing programs aimed at monitoring for anti-bribery, data privacy, and fraud, waste, and abuse risk.
Geoff Thomasson
Client Partner, Galvanize
Geoff has spent his career working internal audit and risk management roles for some of the largest companies in the world. Prior to Galvanize, Geoff worked in risk consulting for a Big 4 firm in London, UK. As a client partner, Geoff helps organizations mature their internal audit and risk management practices by providing best practices and guidance on using technology to automate internal processes, improve reporting, and increase real-time oversight.
