Identity Fraud Prevention

Onboard real users,
keep fraudsters out

Block stolen and synthetic identities at the door, before they touch accounts or funds, using layered checks across biometrics, documents, devices, and fraud networks.
Identity Fraud Prevention

Identity fraud impacts businesses in many ways

Businesses face exposure to various types of identity fraud, so multi-layered prevention methods are crucial.

    Stolen identity fraud

    Real PII used by someone else to pass checks and make transactions

    Synthetic identity fraud

    Real and fabricated data combined to create ‘new’ identities at scale

    Forged document fraud

    Altered or counterfeit IDs or PoA used to pass document verification

    Deepfake attacks

    Face spoofing to bypass selfie or liveness checks and impersonate real users

    Detect
    Instantly spot and block deepfake-based onboarding attempts and catch altered documents or suspicious PoA.
    Connect
    Use duplicate and known-face search to block repeat offenders, while also linking impostors across accounts using device and network signals.
    Act
    Trigger step-ups only when faced with high risk, centralizing your investigations and speeding up resolution.

    How Sumsub prevents identity fraud

    Deepfake Detection
    Identity Verification
    Device Intelligence
    Fraud Network Detection
    Risk Monitoring
    Case Management
    Workflow Orchestration
    Deepfake Detection
    Deepfake Detection
    • Engrained in our liveness checks, Sumsub’s Deepfake Detection verifies the legitimacy of a person, detecting all types of spoofing, including AI-generated faces, injected deepfakes, screen replays, and printed or masked attempts.
    • This tool analyzes facial geometry and depth cues for anomalies and red flags indicating forced or unnatural verification behavior.
    • Thanks to continuously learning algorithms, detection can be updated as soon as new deepfake tools and injection methods emerge — ensuring you always stay ahead of the fraudsters.

    Deepfake Detection

    Deepfake Detection
    Deepfake Detection
    • Engrained in our liveness checks, Sumsub’s Deepfake Detection verifies the legitimacy of a person, detecting all types of spoofing, including AI-generated faces, injected deepfakes, screen replays, and printed or masked attempts.
    • This tool analyzes facial geometry and depth cues for anomalies and red flags indicating forced or unnatural verification behavior.
    • Thanks to continuously learning algorithms, detection can be updated as soon as new deepfake tools and injection methods emerge — ensuring you always stay ahead of the fraudsters.

    Identity Verification

    Device Intelligence

    Fraud Network Detection

    Risk Monitoring

    Case Management

    Workflow Orchestration

    Protect onboarding in any industry

    • Financial services

      Onboard new users in under 30 seconds while ensuring AML compliance and preventing fraud before it happens.

    • iGaming

      Meet regulatory requirements, prevent underage gambling, and reduce fraud risks by verifying player identities and payment methods.

    • Crypto

      Stay compliant with evolving regulations, combat financial crime and money laundering, and secure your platform from fraud by verifying user identities and monitoring transactions.

    • Trading

      Protect your platform from identity fraud, adhere to financial regulations, and build user trust by verifying traders before enabling transactions.

    • Transportation

      Stop identity fraud, improve passenger safety, and simplify onboarding for drivers and riders by verifying identities and payment details in real time.

    The impact of Sumsub’s
    solutions

    End-to-end protection
    Complete coverage from sign-up to transaction to review
    Detection and response
    Go beyond alerts as you block, step-up, or escalate in real-time
    Unified risk view
    Track all fraud signals in a single platform for faster, smarter decision making
    Efficiency at scale
    Experience fewer false positives, faster investigations, and less burden on your analysts
    Frictionless UX
    Keep genuine users flowing, while slashing verification time to just 4.5 seconds, where Non-Doc Verification is supported
    Future-ready
    Always stay ahead of complex fraud like bots, SIM swaps, deepfakes, synthetics, and other emerging fraud trends

    Sumsub is a recognized
    Leader

    • KuppingerCole Leadership Compass

      KuppingerCole Leadership Compass

      Sumsub’s Fraud Prevention is recognized as an Overall Leader by KuppingerCole Analysts

    • Frost & Sullivan

      Frost & Sullivan

      A Leader in the Frost Radar™ for Fraud Detection and Prevention (KYC), 2023

    • Chartis RiskTech

      Chartis RiskTech

      Quadrant Category Leader Enterprise Fraud Solutions

    • Gartner

      Gartner

      Named a Leader in the 2025 Gartner® Magic Quadrant™ for Identity Verification

    • Forrester

      Forrester

      Recognized as a Leader in the Forrester Wave™

    • IDC

      IDC

      Named a Leader in IDC MarketScape for Worldwide Identity Verification in Financial Services 2025

    Don’t take our word for it.
    Here’s what our clients have to say

    • By using these advanced fraud detection capabilities, we can proactively mitigate risks and ensure that our operations remain secure and compliant. This also allows us to better detect and prevent potential fraud or money mule activities.
      Akin Akande
      Akin Akande
      Compliance & Financial Crime Analyst at iFAST Global Bank
    • We’ve seen that we are no longer a target for professional fraud networks, which was a major headache for us and our clients. Fraud cases dropped by 90%, and most importantly, our user conversion rate didn’t decrease, which is often a concern when implementing this kind of solution.
      Daniel Londoño
      Daniel Londoño
      Director of Product and Operations at Zubale
    • Thanks to Sumsub, we have significantly reduced fraud on our platforms. Overall, Sumsub has contributed to a 50.36% decrease in fraudulent transactions on Ari10 products.
      Jacek Kubiak
      Jacek Kubiak
      Product Manager at Ari10

    Get started today

    Protect your organization from identity fraud and block out even the most sophisticated attempts.

    1.4B+
    Enriched identities in our system
    23,000+
    Fraud samples analyzed daily
    2.3M+
    Known fraudsters in our unique database

    FAQ

    • What is identity fraud?

      Identity fraud is the act of a criminal using stolen or fabricated personal information to commit financial crimes. The victim’s details can be obtained by physical theft, such as stealing someone’s wallet, or online, using phishing or malware methods. Fabricated personal information can be created using AI manipulation tools. Identity verification fraud prevention technology has become imperative for businesses and users alike to stay protected and aware of evolving fraud tactics.

    • What is synthetic identity fraud?

      Synthetic identity fraud combines genuine and falsified data to create a new, synthetic identity that is not actually connected to a real individual. This fake account can then be used to pass verification systems, open accounts, and max out loans, while appearing untraceable. One type of synthetic identity fraud is deepfake attacks, where AI is used to create convincing video and audio to bypass verification and commit financial crimes.

    • How to prevent identity fraud?

      Identity fraud prevention requires a multi-layered approach utilizing the right identity fraud prevention software, which includes device intelligence, fraud network detection, IDV, behavior monitoring, and payment fraud detection. The best identity fraud prevention systems utilize AI fraud detection to identify deepfakes and anomalies in real-time. Businesses and individuals must be vigilant about not sharing personal data and using identity verification technology that checks the legitimacy of users before new accounts can be opened.

    • What is the difference between identity theft and identity fraud?

      Identity theft is the act of stealing one's personal identification documents, such as credit card details or their driver’s licence, while identity fraud is using these stolen details to commit a crime, such as unauthorized purchases, opening accounts under their name, or taking out a loan.