AI may be transforming hiring—but it’s also arming fraudsters.
Background screening provider Yardstik today announced three connected technologies aimed squarely at AI-driven identity fraud: Detect AI™, a new biometric Identity Verification system, and real-time Continuous Criminal Monitoring. Together, they form what the company is branding as a new category: the Human Trust Platform (HTP).
The pitch is clear. Traditional background checks—largely designed to verify criminal records and employment history at a single moment in time—aren’t built for a world of synthetic identities, deepfake interviews, and AI-generated credentials.
And the threat is growing fast.
By 2028, as many as one in four candidate profiles globally could be fake, according to projections cited by Yardstik. Meanwhile, just 19% of businesses use any solution beyond point-of-hire background checks to manage workforce risk.
That gap, the company argues, leaves employers dangerously exposed.
Hiring in the Age of Deepfakes
AI has dramatically lowered the barrier to identity fraud. Synthetic identities can be stitched together from stolen data. Deepfake tools can power convincing video interviews. AI systems can fabricate resumes, employment histories, and even supporting documentation.
Traditional screening workflows weren’t built to detect those tactics.
A one-time criminal background check doesn’t identify whether the person on Zoom is who they claim to be—or whether their credentials are fabricated with generative AI tools. Nor does it flag if an employee later appears on a criminal database months after being hired.
“Trust isn’t static—it degrades without continuous verification,” said Andrew Johnson, CEO of Yardstik, in a statement. “In a world where AI can fabricate identities in minutes, businesses need systems that continuously verify who people are.”
Yardstik’s response is to move from point-in-time screening to ongoing verification.
Detect AI™: Fraud Signals Most Employers Never See
The first piece of the rollout, Detect AI, is positioned as an advanced fraud detection intelligence layer embedded into candidate screening.
Rather than focusing solely on criminal records or employment checks, Detect AI analyzes signals such as:
- Payment fraud indicators
- Social Security number anomalies
- Device and location risk signals
- Other behavioral and identity inconsistencies
These types of signals are often associated with fintech fraud prevention—but less commonly applied in hiring workflows.
By identifying anomalies early, Yardstik aims to stop fraudulent hires before onboarding occurs, reducing financial loss and reputational damage.
In industries like gig work, healthcare staffing, logistics, and financial services—where high-volume hiring is common—scalable fraud detection is becoming a competitive necessity.
Biometric Identity Verification: Matching Face to ID
The second launch, New Identity Verification, adds biometric confirmation to the process.
The system matches biometric data to government-issued IDs, verifying that the person being screened matches official documentation. Crucially, the verification isn’t framed as a one-time event but part of an ongoing trust model.
This approach mirrors identity verification standards increasingly used in fintech and remote banking. As remote hiring becomes the norm, biometric checks may shift from optional safeguard to baseline requirement.
For organizations concerned about insider threats or compliance-sensitive roles, ensuring that “the person hired is the person who shows up” is no longer trivial.
Continuous Criminal Monitoring: Daily Checks, Not Annual Reviews
Perhaps the most operationally significant addition is Continuous Criminal Monitoring, delivered via API.
Instead of running a background check once at hire—or at infrequent intervals—the system checks daily against national and state criminal and sex offender databases. If an employee appears in a database, the employer is alerted in near real time.
That model reflects how cybersecurity evolved from periodic audits to continuous monitoring.
For regulated sectors such as healthcare, childcare, transportation, and financial services, delayed discovery of criminal activity can carry steep legal and reputational consequences.
From Screening Tool to ‘Human Trust Platform’
Yardstik’s broader ambition is to redefine its category.
Rather than positioning itself solely as a background check provider, the company is introducing the Human Trust Platform as an integrated system that spans:
- Fraud Detection (pre-hire risk signals)
- Candidate Screening (background checks, MVRs, drug testing)
- Credential Verification (employment, education, licenses)
- Continuous Monitoring (post-hire oversight)
The shift reflects a broader market reality: workforce risk is no longer static. Employees change roles, credentials expire, and compliance requirements evolve. Meanwhile, AI-enabled fraud continues to escalate.
CTO Josh Cutler described the technology as capable of identifying anomalies “most companies don’t even know exist,” including device fingerprints and biometric mismatches.
That framing echoes trends in cybersecurity and fintech, where layered, signal-based verification has replaced reliance on a single authentication event.
Market Context: A New Layer in HR Tech
The HR technology landscape is already crowded with applicant tracking systems, identity verification vendors, and compliance tools. What differentiates Yardstik’s pitch is the integration of fraud detection and continuous monitoring into a unified workflow.
As remote hiring expands globally and AI-generated deception becomes more sophisticated, workforce verification could become as critical as endpoint security.
The concept of continuous trust—rather than one-time trust—aligns with zero-trust security philosophies that have reshaped IT infrastructure over the past decade.
If the prediction of 25% fake candidate profiles by 2028 proves even partially accurate, employers may have little choice but to adopt similar continuous verification systems.
For now, Yardstik is betting that hiring in the AI era demands more than a background check. It demands an always-on trust architecture.
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