Future of AIAI

Does your candidate actually exist?

By Hamraj Gulamali, Head of Legal & Compliance at Zinc

In an era where remote hiring is the norm, businesses are facing a disturbing new reality: some candidates may be entirely fake. With AI-powered tools becoming more accessible, it’s easier than ever to forge identities, fabricate experience, and cheat the hiring process. From AI-generated résumés to deepfake video interviews, companies are increasingly being duped by job seekers who aren’t who they claim to be.  

The implications are serious. A fraudulent hire can compromise company data, damage team dynamics, and cost thousands in lost productivity. And yet, many organisations still rely on outdated methods of verification, if they verify at all. As the remote work landscape expands, the question isn’t just who you’re hiring, but whether that person is even real.  

To stay ahead, businesses must rethink their approach to identity verification. Because in 2025, a polished LinkedIn profile isn’t proof of a person; it’s just a starting point. 

The rising threat of identity fraud in remote hiring 

Identity fraud in recruitment is no longer limited to a few forged documents or exaggerated résumés. Today, entire candidate personas can be manufactured using AI, complete with synthetic IDs, fake certifications, and even falsified reference networks. 

This evolution makes detection far more difficult. A candidate might pass background checks, present valid-looking paperwork, and speak fluently in interviews – yet still be a complete fabrication, like the AI-based Instagram influencers we see on the rise. In some cases, real people are hired under stolen identities, raising legal and ethical red flags for employers. 

And the damage goes beyond bad hires. It can derail teams, compromise sensitive data, and erode internal trust. But the most immediate risk is operational: every fake hire is a potential blind spot – someone with access who shouldn’t have it, working behind a synthetic mask. 

How compliance, regulation, and AI are reshaping hiring integrity 

Hiring mistakes aren’t just missteps, they’re compliance vulnerabilities, legal liabilities, and audit flags waiting to happen. As hiring fraud grows more sophisticated, boards and regulators are no longer asking whether your process is efficient; they’re asking whether it can be proven. 

This pressure is accelerating the fusion of compliance, technology, and hiring. AI tools used in recruitment now face scrutiny under emerging regulations like the EU AI Act, which requires explainability, bias mitigation, and data transparency. Similarly, digital identity systems are shifting from optional tools to compliance-critical infrastructure in global hiring. 

As a result, hiring practices have become increasingly digital and data-driven, compliance teams are taking on a more proactive role. They are no longer just gatekeepers but active collaborators in designing the hiring process itself. Their role now includes vetting digital identity partners, auditing automated decision systems, and ensuring that each stage of recruitment meets evolving standards for trust and traceability. 

Integrity in hiring is no longer about intuition or credentials alone. It’s about verifiable trust; systems that show who was hired, how, and why, with every step documented and defensible. 

Why “Digital IDs” is the new baseline for trust in global teams 

National digital identity systems are quickly becoming the foundation for trust in remote hiring – not symbolic trust, but verified, certified identity at scale. In Australia, the Digital Identity Act 2024 established a national framework that accredits ID providers under strict standards for privacy, security, and verification integrity. Services like myID and Australia Post Digital iD now allow employers to validate passports, driver’s licences, and biometric data, minimising fraud risk while streamlining onboarding. These systems remain technically voluntary but are fast becoming expected in professional hiring workflows. 

In the EU, Estonia has taken this further. Just this month, it launched a major upgrade to its national app, Eesti.ee, enabling real-time identity verification via smartphone using ID card or passport data, including biometric authentication. Through a secure QR‑code exchange, service providers can now treat this mobile verification as equivalent to an in-person passport check. It’s a real-world solution for a digital hiring problem and a glimpse at what other nations may soon adopt.  

The UK, meanwhile, is still in transition. While frameworks are emerging, there is no national system with the usability or legal weight of Estonia’s model, leaving a gap for employers managing global teams. Until systems like these are adopted more widely, businesses will continue relying on fragmented tools when what they really need is sovereign-backed certainty.  

As the nature of work continues to evolve, so too must the systems that support it. The digital shift in hiring isn’t just a matter of convenience; it’s a necessary response to a landscape where authenticity can no longer be assumed.  

With fraud growing more sophisticated and the tools to detect it rapidly maturing, the pressure is on employers to match technological innovation with equal rigour in verification. Whether through regulatory compliance, AI governance, or national digital ID systems, the future of hiring depends on trust, not as a feeling, but as a function of proof. 

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