{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"AI-Powered Fraud: What AP Teams Are Up Against","description":"In this episode, fraud expert Paul Zikmund joins host Grace Berube to walk through four AI-driven fraud schemes that are reshaping the threat landscape for AP teams. From deepfake voice calls impersonating executives to business email compromise powered by large language models, phantom vendors with entirely fabricated online identities, and AI bots quietly submitting small invoices at scale, Paul breaks down how each scheme works, what real-world losses have looked like, and what AP professionals can do \u2014 both with traditional controls and new AI-detection tools \u2014 to stay ahead of increasingly sophisticated attacks. WHAT YOU\u2019LL LEARN IN THIS EPISODE How deepfake voice cloning works \u2014 and how fraudsters use it to impersonate executives and pressure AP teams into authorizing wire transfers. Why AI-generated business email compromise is harder to catch than ever, with LLMs crafting contextually accurate emails that reference real projects, vendors, and relationships to request fraudulent bank changes. What phantom vendor fraud looks like when bad actors use generative AI to build a complete fake company \u2014 website, LinkedIn profiles, deep-fake employees, and all \u2014 and win legitimate contracts. How automated invoice manipulation works as a \u201cdeath by a thousand cuts\u201d scheme, with AI bots submitting hundreds of small, below-threshold invoices across multiple locations over months. What AP teams can do right now \u2014 from deepfake detection tactics on video calls, to code words for banking changes, to building a closer working relationship with cybersecurity and investing in continuous fraud training. ","author_name":"The IOFM Podcast","author_url":"https:\/\/www.iofm.com","html":"