Stop Candidate Fraud with Identity Verification
Proof offers a flexible, no-code identity verification solution that integrates seamlessly into hiring workflows to pre-screen candidates, conduct live video ID checks for high-risk roles, and re-verify identities post-offer, effectively preventing candidate fraud such as bots, deepfakes, and impersonators throughout the entire hiring funnel without disrupting genuine applicants.
Where Proof fits into your hiring process
Pre-screen candidates
Send identity verification links (EasyLinks). Filter out bots, deepfakes, and impersonators early—saving your recruiters from wasting time on fake candidates.
Verify high-risk roles
For critical hires—like remote engineers, executives, or sensitive access positions—run a live video verification. Confirm government ID and match it to the applicant’s face before moving forward.
Validate candidates post-offer
Use Proof to confirm identity again before onboarding or equipment provisioning. Prevent fraudsters from slipping through after background checks.
Build flexible workflows
Deploy Proof through automated emails, ATS webhooks, or manual triggers—wherever you need smart friction. No heavy integrations, no disruptions to real candidates.
Learn how to protect your people and process from candidate fraud through every stage of the hiring funnel
Smarter hiring starts here
Proof seamlessly layers into your hiring workflows—with or without full ATS integrations. Fast setup. No dev work. Zero disruption for real candidates.
Identify
Send no-code identity verification links. EasyLinks screen out bots, impersonators, and fraudsters before they waste your recruiters’ time. Fast to deploy, flexible to fit into any ATS or hiring process.
Verify
Run live video ID verification for sensitive or critical roles. Confirm government-issued ID, match it to the applicant’s face, and add human-in-the-loop protection where it matters most—all before making an offer.
34M+
Customer days saved
4.97/5
Average customer satisfaction
100+
Risk signals to alert you to fraudulent activity
Candidate fraud won't slow down. Neither should you
Talk to us about how Proof can help your HR team catch fakes early—and stay focused on what matters: hiring real people.
Related
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The article presents a detailed guide to the top 10 candidate fraud and identity verification tools for 2026, highlighting how AI-driven fraud risks in hiring necessitate advanced solutions like Proof—which offers no-code, mobile-first identity verification with fraud detection and compliance features used by over 8,000 companies—to help HR teams reliably confirm applicant identities and prevent synthetic identities, deepfakes, and other fraudulent hiring attempts.
Stop Candidate Fraud Before It Starts | Proof
Proof offers continuous, expert-verified candidate identity monitoring throughout the hiring process to combat increasingly sophisticated and industrialized fraud tactics—such as deepfakes, proxy interviews, and synthetic identities—that current fragmented hiring tools fail to fully address, preventing costly security breaches and wasted recruiter time.
The Hidden Threat in Your Hiring Process: Why Traditional Background Checks Are No Longer Enough
The article highlights that traditional background checks and ATS platforms are increasingly ineffective against sophisticated hiring fraud, including AI-generated resumes and identity theft exploited by state-sponsored operatives, emphasizing the urgent need for biometric identity verification with liveness detection to secure the modern, automated hiring process.
ATS-Integrated Identity Verification for Job Candidates
Proof offers an ATS-integrated, no-code identity verification solution for job candidates that helps employers prevent fraud, reduce hiring costs, and enhance security by automatically verifying identities through easy-to-use links, recorded sessions for high-risk roles, and re-verification before onboarding, with pay-per-transaction pricing starting at $4 per verification.
Multi-Signal Fraud Detection Benchmarks
Proof has developed a layered fraud detection model that combines passive signals, active checks, and collective telemetry from its Identity Authorization Network to outperform traditional passive-only methods by 600-1,300% in detecting sophisticated fraud without increasing user friction, addressing the shortcomings of standard approaches like MFA and KBA that are increasingly ineffective against targeted attacks.
Deepfakes and Real Estate Fraud
The article discusses how AI-generated deepfakes, created using technologies like Generative Adversarial Networks, have become a significant threat to the real estate industry by enabling fraudsters to impersonate property owners and authorize fraudulent transactions, highlighting the industry's vulnerability due to high-value deals and outdated verification methods, and emphasizing the need for advanced, layered security solutions like biometric analysis and live supervised verification to effectively detect and prevent such sophisticated scams.