If you are wondering how AI is changing candidate fraud and what recruiters can do about it, this episode breaks it down in practical terms. In this conversation, Terry Terhark, CEO at NXTThing RPO, shares what he is seeing firsthand across enterprise recruiting teams. You will learn what candidate fraud really looks like today, how AI tools are helping applicants misrepresent skills and identity, and what talent acquisition teams can do to protect their hiring process without overreacting. The discussion includes real-world examples of fake resumes, AI-assisted interviews, dual employment, falsified references, and remote hiring risks, along with concrete steps to reduce bad hires and improve hiring integrity.Key Takeaways Candidate fraud today is more sophisticated and often powered by AI tools.Fraud can include fake resumes, fake locations, fake identities, falsified work eligibility, and stand-in interviewees.AI tools can provide real-time interview answers, making it harder to assess real capability.Some candidates hold dual full-time remote jobs without disclosure.The cost of hiring a fraudulent candidate is far higher than candidate ghosting.Employers must clearly define what counts as acceptable AIuse versus cheating.Requiring ID checks during video interviews can help verify identity.Asking candidates to share their screen during assessments can expose AI assistance.More companies are returning to in-person interviews to reduce fraud risk.Training recruiters and hiring managers to spot red flags is a critical first line of defense. Connect with Terry on e-mail: [email protected]Connect with Terry on LinkedIn: https://www.linkedin.com/in/terryterhark/ Timestamps Keywordscandidate fraud in hiringAI in recruitingfake resumesAI interview cheatingremote hiring risksdual employment fraudidentity verification in recruitmentbackground check best practicesAI hiring policiestalent acquisition challenges