How to Fight AI-Generated Interview Fraud

This article was developed in partnership with The Encompass Group, a people and technology optimization firm that helps organizations build high-performing teams, strengthen talent strategies, and improve organizational effectiveness.

When a candidate uses deepfake video, voice spoofing, stolen personal information, or a proxy interviewer to appear qualified or to appear to be someone else, they engage in behavior known as "AI-generated interview fraud." This sort of deepfake has become increasingly common[MT1.1], mostly seen in applications for remote jobs in IT, programming, databases, and software work.  
For HR teams, AI-generated fraud creates hiring, safety, compliance, identity, and cybersecurity problems, as a fake worker may gain access to customer data, financial systems, company databases, source code, or other sensitive information. 

Why AI-Generated Interview Fraud Is a Business Risk

The greatest risk is not only hiring the wrong person, but also giving the wrong person access to your systems.
In 2025, the FBI warned that North Korean IT workers used fake or disguised identities, U.S.-based facilitators, job-search accounts, remote access tools, and virtual interviews to gain remote employment and access U.S. company networks. The Department of Justice has also cracked down on related remote IT worker schemes, including searches of suspected laptop farms, seizure of financial accounts and fraudulent websites, and allegations involving stolen or fake identities.
Whether spurred on by private or public parties, or by an individual or a collective, a successful fake hire can give the exact wrong person a laptop, email account, code access, HR system access, customer files, or payment system access. And in safety-sensitive industries, this can immediately threaten your company, your clients, and your workforce.

A Practical Plan to Fight AI-Generated Interview Fraud

Confirm identity before the interview

Use one candidate identity record from application through onboarding, which can include the candidate’s name, email, phone number, address, résumé, interview schedule, screening status, and onboarding details. The idea here is simple: the person who applies should be the same person who interviews, completes screening, accepts the offer, and starts work. Using one identity record helps ensure the same person moves through each stage of hiring, reducing opportunities for substitution or impersonation.
While the NIST’s digital identity guidelines on identity proofing, authentication, and federation for employees, contractors, and private individuals are for those who interact with government systems, some private companies may find the guidelines useful. 

Use live, role-based interview checks

A structured live interview can make fraud harder; ask your candidate to explain past work, walk through a real problem, describe tradeoffs, and answer follow-up questions in their own words. Structured interviews make it harder for a proxy or AI tool to improvise, especially when follow up questions require personal experience. (When possible, of course, it’s generally safest to ask for an in-person meeting.)

If you need to handle your interview remotely, request that 

• the candidate turn their video camera on;
• they conduct their interview in front of an unobscured background;[MT3.1]
• they answer location-based questions; and
• that they wave a hand in front of their face (a movement that may disrupt AI-generated video).

Additionally, in interviews with multiple rounds, mandating that your candidate turn their camera on will ensure that multiple people have seen their face and can verify in orientation or other meetings that it is the same person from the interview process.

Verify work history and education directly

Fraud often depends on weak verification. After all, a polished résumé, strong interview answers, and a professional online profile can still be built on false or manufactured information.
Consider verifying any prior employment and higher education details directly with the businesses and educational institutions in question. [MT4.1]

Control access after the offer

Fraud prevention should continue even after the offer is extended; consider withholding system access from your job applicants until you complete your background screen.
If your timeline requires your hire to start immediately (or at least faster than your background screen's turnaround time), consider least-privilege access, device controls, phishing-resistant MFA, and staged access for new hires.

Create a clear escalation path

Interviewers should know what to do when something feels wrong. In the event of suspected deepfake or AI interviews, make sure your hiring teams know who to contact, what to document, how to pause the process, and when to involve HR, legal, compliance, security, or a background screening partner.

What NOT to Do When Addressing AI Generated Interview Fraud

While employers should strengthen identity and interview checks, it is equally important to avoid missteps that can create compliance, fairness, or legal risk. The following practices should be avoided:

• Do not rely solely on AI detection tools: Automated systems can produce errors, create bias, or misinterpret technical issues. Technology should support human judgment, not replace it.
• Do not reject candidates based on a single technical glitch: Poor internet connection, audio lag, or camera issues can happen for legitimate reasons. Employers should document concerns, ask clarifying questions, and escalate appropriately rather than making immediate decisions.
• Do not ask for excessive personal information: Overcollection of personal identifying information (PII) can increase privacy risk and violate data minimization principles. Stick to information that is necessary, job related, and compliant with applicable laws.
• Do not skip adverse action steps when fraud is suspected: If a decision is based in whole or in part on a consumer report, employers must follow Fair Credit Reporting Act (FCRA) notice requirements, even when fraud is involved. 
   

Frequently Asked Questions About AI-Generated Interview Fraud

How DISA Global Solutions and The Encompass Group Can Help

DISA Global Solutions and The Encompass Group can help employers build a more secure, consistent, and candidate-friendly hiring process. 

DISA provides configurable background screening, employment and education verification, SSN validation, sanctions checks, I-9 and E-Verify solutions, and other workforce compliance services that strengthen identity and credential verification. The Encompass Group can help organizations incorporate these safeguards into their recruiting strategy, interview practices, hiring workflows, and interviewer training. 

Together, these capabilities support a layered approach to fraud prevention, helping employers identify inconsistencies earlier, reduce manual gaps, establish clear escalation procedures, and make informed hiring decisions before granting access to sensitive systems, data, or facilities, while maintaining a fair and compliant candidate experience.

Contact DISA today to learn how our screening and compliance solutions can help your organization reduce hiring fraud risk while maintaining a fair and compliant candidate experience.

And contact The Encompass Group to strengthen your hiring strategy, improve interview and verification processes, and build a more secure, effective workforce.

About The Encompass Group

The Encompass Group helps organizations improve performance by aligning their people, technology, and business strategies. They offer clients talent acquisition, workforce strategy, leadership development, organizational effectiveness, and technology consulting, with an emphasis on building efficient, high-performing teams.

Serving growth-oriented organizations for more than 20 years, their approach combines professional expertise with a people-centered culture focused on strengthening organizations and supporting sustainable growth.