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Regula IDV Platform records checks and actions performed throughout an identity verification workflow in a unified environment. This helps organizations preserve the decision trace and later reconstruct which evidence, rules, and workflow stages contributed to a particular outcome.
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The goal is not simply to generate more logs. It is to keep a clear connection between the evidence presented, the checks performed, the signals generated, the decision logic applied, and the resulting action. As identity verification becomes embedded in more regulated and high-risk digital interactions, the ability to defend an identity decision may become almost as important as the ability to make the right one in the first place.
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About the Regula’s Identity Verification in the Age of AI Agents study
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Identity Verification in the Age of AI Agents is a global study conducted by Sapio Research in March 2026 among 850 decision-makers responsible for fraud prevention and financial crime across the UK, US, Germany, Singapore, UAE, Brazil, and Mexico. Respondents represent banking, financial services, crypto, telecommunications, government, and gaming sectors.
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The report is released in two parts. The first examines how AI-assisted actors, deepfakes, and synthetic identities are reshaping identity threats. The second explores how organizations are adapting identity verification to AI-driven threats, where confidence gaps remain, and what capabilities are needed to make identity decisions more reliable and explainable.
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Read the full report to learn how organizations are adapting identity verification as digital interactions become more complex.
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FAQ
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What is identity decision traceability?
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Identity decision traceability is the ability to reconstruct how an identity verification outcome was reached. It connects the evidence presented, the checks performed, the signals generated, and the decision logic applied to the final result, such as pass, fail, or manual review.
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Why are system logs not enough to explain an identity decision?
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System logs may confirm that individual checks or actions took place, but they do not always show how those events were connected or how they influenced the final decision. When logs are distributed across different systems, organizations may be able to see the individual steps without being able to reconstruct the complete decision path. A unified platform approach can help close this gap by keeping the evidence, checks, signals, decision rules, and resulting outcomes connected within a single workflow.
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Why does identity verification explainability matter for businesses?
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Organizations may need to explain an identity verification decision when investigating fraud, responding to a customer dispute, reviewing an error, providing evidence to an auditor or regulator, or defending a decision in court. A clear decision record helps them respond faster, defend legitimate decisions, identify weaknesses in their verification processes, and manage compliance, financial, and operational risk.
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About Regula
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Regula is a global developer of identity verification (IDV) solutions and forensic devices, trusted by over 2,000 organizations across regulated industries worldwide. Regula IDV solutions deliver end-to-end document verification, biometric authentication, and identity lifecycle management. They enable organizations to prevent fraud by ensuring the integrity of every signal behind each decision. Built on 34 years of document forensics expertise, fully proprietary technology, and an in-house forensic laboratory, Regula maintains the world’s largest template library of 16,000+ ID templates from 254 countries and territories. The company’s technologies are deployed at 80+ border control authorities worldwide. Regula was recognized in the 2025 and 2026 Gartner® Magic Quadrant™ for Identity Verification.
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English (US)