Behavioral fraud detection

Behavioral biometric
fraud detection

Turn unique human behaviors into advanced security measures by using behavior-based fraud analytics

Upgrade fraud detection

Identify subtle anomalies that traditional fraud prevention methods can miss

Optimize security investment

Streamline security measures with technology that adapts to evolving threats

Deliver seamless experiences

Enhance continuous security and analytics without disrupting user experience.

Unique human behavior is your
strongest defense

Fortify your business with behavioral biometric fraud detection. Sumsub allows you to analyze multiple events and data from users' devices throughout their entire user journey to create dynamic profiles that fraudsters cannot replicate.

Onboarding Orchestration

Sign Up

  • Email Risk Assessment
  • Phone Risk Assessment
  • Device Intelligence

User
Verification

  • ID Verification
  • Address Verification
  • Liveness and Face match
  • Live Agent Video Call
  • Doc-free Verification
  • Public Digital Identity Systems
  • QES/eIDAS (coming soon)
  • NFC
  • Known Face Search
  • Blocklist Check
  • Duplicate Check

AML
Screening

  • PEP + Sanctions
  • Adverse Media

Ongoing Monitoring

Login

  • Device Intelligence
  • Behavioral Fraud Detection
  • Face Authentication
  • MFA

Fraud
Monitoring

  • Device Intelligence
  • Behavioral Fraud Detection
  • Face Authentication
  • Ongoing AML Monitoring

Transactions

  • AML Transaction Monitoring
  • Bank Account Verification
  • Fraud Transaction Monitoring
  • Behavioral Fraud Detection

Abnormal behavior analysis

Detect abnormal behaviors, including atypical typing patterns, touch gestures, and application usage.

Real-time authentication

Enable real-time authentication to continuously monitor users instead of one-off biometric methods that are easy to hack.

Invisible fraud protection

Add an invisible fraud prevention layer to enhance your security measures without interrupting the user experience.

Future-proof application

Adapt to emerging criminal threats with behavioral biometrics that adjust dynamically instead of wasting resources on costly updates.

Fast and hassle-free integration

You only require a one-time integration with Sumsub’s SDK, and most clients begin checks within one week. All further settings are code-free and available in the dashboard.

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Web SDK

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Works on all devices

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as validated by user reviews on G2

FAQ

  • What are behavioral biometrics?

    Behavioral biometrics authenticate users based on unique behavioral patterns like typing, touch gestures, mouse movements, and application usage, enhancing security invisibly. This data is analyzed and used to create a dynamic behavioral profile.

  • How is biometrics used in fraud prevention?

    Behavioral biometrics for online fraud prevention employ unique behavioral attributes like fingerprints, facial features, and voice to verify identity. Biometrics adds an additional layer of protection to the verification process by mitigating the risk of unauthorized access and fraudulent activities.

  • How do behavioral analytics for fraud work?

    Behavioral analytics for fraud leverages machine learning algorithms to analyze user behavior patterns. A dynamic user behavioral profile creates a baseline by assessing keystrokes, touch gestures, and other device behaviors. Deviations from this baseline trigger alerts, allowing real-time identification of potentially fraudulent activities and enabling proactive fraud prevention measures.

  • What are fraudulent behavior red flags?

    Fraudulent behavior red flags include anomalies in user interactions, sudden changes in transaction patterns, atypical device usage, and deviations from established behavioral baselines. Advanced algorithms in behavioral analytics systems identify these deviations, triggering alerts for immediate investigation and fraud prevention measures.