Job seekers used to compete for interviews with a strong resume and a good reference. Now some of them are not even real people. Fake candidates, stolen identities and deepfake video calls have started slipping through hiring pipelines. Companies are discovering the damage only after a fraudulent hire already has access to their systems.
On today’s episode of Business Trends Today, Raj Ananthanpillai, Founder and CEO of Trua and Author of The Trust Crisis: How Big Tech Stole Your Identity and the New Model That Takes It Back, joins us to break down how AI-generated resumes and deepfake interviews are reshaping hiring risk.
How AI turned hiring into a cybersecurity threat
Hiring used to sit squarely inside human resources, handled with a resume review and a background check. That has changed as artificial intelligence makes it cheap and easy to fabricate an entire candidate.
Fake resumes, synthetic identities and real-time deepfake interviews once required real skill and money to pull off. Today they can be produced at scale with minimal effort, according to Ananthanpillai.
“It's not just hiring the wrong person for the job, it's letting someone who was never who they claim to be walk in on day one and get real access to your systems, your data, and your people.”
He pointed to recent stories about North Korean operatives infiltrating the U.S. workforce using fake resumes, fake interviews and fake video calls. Remote and hybrid hiring have made the problem worse by eliminating the face-to-face checks companies once relied on to catch inconsistencies.
A single job posting can now draw thousands of resumes, many of them auto-generated and blasted out by bots. Recruiters sorting through that volume risk missing strong candidates while advancing fabricated ones through multiple rounds of interviews.
Verifying candidates before the interview
Business owners can catch many fraudulent candidates by watching for a handful of consistent red flags during the hiring process. A candidate who avoids real-time video or repeatedly asks to stay off camera should raise immediate concern, Ananthanpillai said.
Generic, template-sounding applications are another signal worth flagging, along with convenient technical glitches that interrupt identity verification steps. Candidates who push back on background checks or try to work around identity verification are often testing a company’s legacy hiring infrastructure for weak points.
“Never ever interview a candidate with the camera off... It's not about the looks, you're now trying to assess the candidacy of the individual.”
Hiring has shifted from a system built on trust to one built on trust but verify, and now needs to move into a verify-first, then-trust model, according to Ananthanpillai. He described a trust token system in which candidates verify their identity once through a trust bureau, similar to how a credit bureau operates, and receive a reusable credential.
Employers can require that token on every resume submitted, which confirms at minimum that the applicant is a real, verified person rather than a bot-generated submission. The same token can later verify employment history and credentials, reducing how much personal data employers need to collect and the liability that comes with storing it.
Labor shortages pushing overlooked risk
Industrial hiring booms in manufacturing and data centers are creating millions of job openings that companies need filled immediately. That urgency is making it easier for fraudulent candidates to slip through the cracks, Ananthanpillai said.
Frontline positions in construction, manufacturing and data centers cannot wait weeks for a hire, which pressures companies to skip verification steps they would otherwise take. Companies are running an AI-driven hiring pipeline on verification infrastructure built for a much slower, lower-volume era, Ananthanpillai said.
Verification needs to happen before a candidate is invited to interview, not after an offer is extended, reversing decades of standard hiring practice. Subjective interviews are typically conducted by hiring managers rather than HR staff or recruiters, and hiring managers are often the least prepared to catch a fabricated candidate.
A fraudulent hire who gains remote access to company systems, passwords and data becomes an insider threat once employed, not simply a bad fit for the role.
The future of candidate verification
Trua applies a verification model similar to TSA PreCheck to the commercial hiring market, drawing on Ananthanpillai’s earlier work developing federal identity verification programs. Candidates verify their identity once, in under five minutes, using biometric liveness detection combined with biographic data.
That verification produces a reusable trust credential that candidates can present to any employer without resubmitting personal information each time. Employers send the token to a trust bureau, which verifies identity details and credentials without requiring employers to collect or store sensitive data directly.
Ananthanpillai’s book, The Trust Crisis, published by Forbes, argues that big tech’s data collection practices helped create the conditions for today’s identity fraud epidemic. Proceeds from the book go to the Identity Theft Resource Center, a nonprofit that supports identity theft victims and runs public education programs.
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