One fake applicant can now generate:

  • A résumé written by ChatGPT, fine-tuned with feedback loops
  • A cloned voice trained on podcast clips
  • A deepfaked video interview using avatars that track in real time
  • "Credentials" from diploma mills, cross-verified on fraudulent sites
  • A fake employer phone number manned by, you guessed it, another AI voice

This isn't sci-fi. It's real, it's happening, and it's escalating.

📉 A recent iProov study found that only 0.1% of people can consistently spot AI-generated deepfakes.

As Certn's Head of Global Background Screening told Wired last week, fraudsters have neat tricks. Your next "candidate" could draw inspiration from:

  • A North Korean fraudster posing as a remote hire (yes, this happened)
  • A synthetic CEO hijacking internal calls (this happened to WPP)
  • A "sales rep" delivering AI-generated answers in a live interview, while the real person never existed

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Today I'm covering:

  1. Real-life deepfake scams (one even impersonating me)
  2. How synthetic identities are sneaking into your funnel
  3. Your deepfake-proof hiring checklist and 10 ways to protect your company

Let's dive in.

The Rise of Synthetic Candidates

Forget résumé padding, today's hiring fraud is powered by GenAI. We're seeing everything from fake video interviews to cloned voices and AI-generated ID documents.

The illusion of confidence is the enemy of cybersecurity. When you're hiring remotely or globally, the attack surface gets even bigger.

Gartner predicts that by 2028, one in four job candidates globally will be fake. Meanwhile, 17% of hiring managers have already encountered deepfake job candidates during video interviews (ResumeGenius).

And guess what? 57% of people think they can spot a deepfake, but the vast majority of participants couldn't distinguish between real content and deepfake images and video.

The illusion of confidence is the enemy of security.

Deepfake Tactics HR Should Know

As Donal covers in his article, Is That Candidate Even Real?, here's what to watch for in the age of AI-enabled fraud:

  1. Voice Cloning — "Hey it's your CFO, just wire that vendor payment…" (Spoiler: It's not your CFO.) AI-generated voice notes are shockingly realistic. If you're not validating high-stakes requests with multi-channel verification, you're playing with fire.
  2. ID Spoofing with AI-Enhanced Photos — Still accepting static ID images or PDFs uploaded by the candidate? That's fraudster paradise. Tools exist to manipulate photos, blur out discrepancies, and create hyper-realistic fakes. Only live, biometric ID verification can keep up.
  3. Synthetic Résumés + Ghost Interviews — Coordinated scripts. AI-written CVs. Fake LinkedIn profiles boosted by engagement pods. "Candidates" can conduct full interviews with deepfaked avatars and audio clones. If your process can't sniff out digital deception, you risk being played.

The fix? Automate the basics, verify in real time, and stop relying on outdated processes that can't scale with risk.

At Certn, we're known for background checks and identity verification that don't slow hiring down. But we've been working up something big, and it's almost here — something built for the era of deepfakes, digital deception, and remote interviews.

✅ Your Deepfake-Proof Hiring Checklist

Here are more ways you can protect yourself:

  1. Use Biometric Identity Verification — Face match. Liveness detection. Motion prompts. Certn's identity verification tech (yes, I'm proud of it) uses this to stop imposters before they even start.
  2. Implement Real-Time ID + Credential Verification — Automated + online > static scans and PDFs. Use platforms that verify IDs and credentials with issuing sources.
  3. Add Red Team Testing to TA Tech Stack — Have your security team simulate a deepfake attack on your hiring funnel. If they can break it, so can someone else.
  4. Vet Your Vendors — What's your ATS or background check provider doing to detect synthetic identities? If the answer is "not much," it might be time to rethink that relationship.
  5. Educate Your Hiring Teams — Your recruiters and coordinators are frontline defenders. Train them on spotting anomalies (laggy interviews, mismatched lip sync, nervous stalling). More specifically:
  • Prompt Real-Time Movements — Ask candidates to perform natural, unscripted actions, like touching their nose, placing a hand near their face, or briefly adjusting their glasses. These simple motions often disrupt deepfake overlays that struggle with depth, occlusion, or real-time rendering.
  • Shift the Frame — Request the candidate briefly turn their head, look over each shoulder, or reposition themselves in frame. Multi-angle movements expose inconsistencies in AI-generated images, especially around ears, jawlines, and profile contours.
  • Introduce Environmental Change — Ask them to hold up a nearby object (e.g., a pen, phone, or coffee mug) or adjust their lighting slightly. Deepfakes can be thrown off by real-world changes that require dynamic adaptation.
  • Watch for Human Tells — Pay attention to the subtle stuff. Are their blinks irregular or perfectly timed? Are their expressions too smooth? Authentic humans show micro-expressions, asymmetry, and natural inconsistencies, deepfakes often don't.
  • Dig Beneath the Résumé — Go beyond surface-level questions. If they claim to have worked in a specific city, ask about their commute, favourite local coffee shop, or how the team celebrated wins. For job experience, prompt them to reflect: "Tell me about a time that surprised you at that company." Real experience includes nuance. GenAI rarely does nuance well.

With technology being such a big part of background screening now, the vetting point is even more important. If your buying committee doesn't already include your CISO, IT, or a security lead, it might be time to loop them in. Their perspective is critical, especially when you're evaluating vendors and building out your pre-screening safeguards.

Fraud, deepfakes, and the tech that's changing everything.

On this week's episode of What the FTE?, Certn's Global Head of Background Screening, Donal Greene, sits down with Doug Beavis, our EMEA Sales & Commercial Director, and a 25-year veteran of the UK background screening industry.

Doug's seen it all. From the days of faxed reference checks (yes, really) to today's biometric ID scans, he shares how far hiring tech has come, and why it matters more than ever in the fight against fraud.

If you're navigating AI risks, hiring remotely, or just want to make sure your process is built on more than good faith, this episode is for you.

🎧 Tune into the episode: certn.co/podcasts