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Fraud Risk Management

Stop fraud instantly with 90% less manual effort

Secure your enterprise fraud management with AI-powered anomaly detection and customizable risk scoring to minimize losses and improve operational efficiency
Read Sumsub reviews on G2
30% reduction in chargeback and bonus abuse fraud
Use advanced AI systems to stay ahead of sophisticated fraud schemes, reducing losses across all payment channels.
45% boost in operational efficiency
Streamline fraud investigations with intuitive, no-code workflows that allow teams to focus on what matters most.
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Up to 85% decrease in false alarms
Enhance fraud detection accuracy with adaptive algorithms and precise customer profiling, ensuring minimal disruption for legitimate users.

Smarter fraud protection,
less manual efforts

Track suspicious patterns

Detect anomalies with unique device configurations, email, IP, and phone analysis to assess user risk and flag suspicious behaviors.

Spot fraudulent behaviors fast

Prevent fraud attempts by monitoring even the most subtle user activity like mouse movements, keystrokes, and navigation patterns to detect unusual behaviors in real-time.

Assess risks dynamically

Calculate real-time risk scores using behavior patterns, KYC data, and device fingerprints to prioritize and act on suspicious activity, all bespoke to your business.

Automate fraud prevention

Detect threats 90% faster with AI-driven anomaly detection, reducing manual reviews and safeguarding transactions with adaptive, predictive analytics.

How much could you be
saving with Sumsub?

ROI calculator
How many transactions does your organization process per month?
5,000More 10,000,000
5,000
What is your industry?
How many users do you serve per year?
How many analysts work on fraud cases?
What is the average transaction value ($)?
How the calculator works
This calculator is tailored for the Sumsub Fraud Risk Management solution, offering an estimated range of potential savings your company could achieve. The calculations incorporate industry average data (e.g., average analyst salary) as of December 2024. Results will vary depending on your unique use case. Schedule a demo below to explore your specific needs with one of our expert team members.
Results
Total Annual Savings
0
ROI
0%

How Sumsub’s Fraud Risk
Management works

Device fingerprinting
Device fingerprinting collects unique hardware, software, and user behavior data to create an identifier, enabling accurate device tracking and fraud prevention.
Behavior intelligence
Fortify your business with behavioral biometric fraud detection that analyzes multiple events and device data throughout the user journey, creating dynamic profiles fraudsters can’t replicate.
Dynamic risk scoring
Evaluate users in real-time with scores based on KYC, behavior, and device data. Customize risk profiles, flag anomalies, and prioritize investigations easily.
Anomaly detection
Anomaly Detection flags unusual activities, assigns Low/Medium/High-risk scores, and provides insights into flagged transactions for swift action.

Why Sumsub

Clients
Fraudsters
  • After we signed with Sumsub and integrated their tool, we managed to increase the speed of verification by more than 4 times. Concurrently, the number of our clients increased by more than 3 times.
    Clyde Zorgvol
    Clyde Zorgvol
    Deputy Group Head of Compliance at Capital.com
  • With Sumsub, we’ve managed to reduce user fraud to practically zero. Since we began using Sumsub, fraud is just one less thing we’ve had to worry about.
    Amram Adar
    Amram Adar
    Co-Founder and CEO at Oobit
  • As an online marketplace, security and safety for our users are critical issues. We needed KYC software that we could trust. Partnering with Sumsub supported our platform’s growth by allowing us to onboard many more users safely and securely.
    Jonathan Cook
    Jonathan Cook
    Teacher Success Manager
  • Identity Verification
  • Address Verification
  • Fraud Detection
  • Anti-Money Laundering

Need the Ideal Solution?

Choose G2's Top Pick

Optimize your fraud detection and response strategy, where cost reduction is achieved effortlessly. Avoid internal development expenses with easy configuration and pre-designed anti-fraud rules.

  • 70

    Net Promoter Score

  • 95%

    Ease of use

  • 91%

    Ease of setup

* According to G2 2024 Identity Verification Winter Report

FAQ

  • What are the 4 components of fraud risk management?

    The four main components of fraud risk management are prevention, detection, response, and recovery. Fraud prevention consists of assessing risk, internal controls, employee training, security measures, and fraud awareness programs. Fraud detection consists of audits, data analysis, investigative procedures, and continuous monitoring to detect real-time sudden changes. Fraud response consists of containment, investigation, reporting, and any disciplinary or legal action required. Fraud recovery consists of asset recovery, strengthening controls, insurance claims, and employee communication to rebuild trust and prevent repeated fraud.

  • What is fraud management in the e-commerce industry?

    In e-commerce, fraud event management is needed to detect behavioral patterns and any risky transactions that could indicate account takeover or payment fraud. Fraud management is needed to prevent losses, including chargebacks, revenue, and time and resources invested in manual review of transactions.

  • What is a fraud prevention solution?

    An online fraud prevention solution is a comprehensive cybersecurity measure designed to safeguard businesses and individuals from digital deception. It employs advanced technologies to detect and mitigate fraudulent activities, ensuring secure online transactions and data protection.

  • What are the strategies for fraud detection?

    The best fraud detection software employs advanced anomaly detection algorithms, machine learning models, and behavioral analytics. It analyzes transaction patterns, user behavior, and contextual data in real time, enhancing precision and efficiency in identifying and preventing fraudulent activities.

  • Can AI be used for fraud detection?

    Yes, AI is instrumental in fraud detection services, employing machine learning algorithms to analyze patterns and anomalies, enhancing accuracy and efficiency. It's a vital component in contemporary fraud detection strategies.

  • What is anti-fraud software?

    Anti-fraud software is a type of specialized anti-fraud solution employing advanced technologies like artificial intelligence (AI) and machine learning (ML) to detect and prevent fraudulent activities. It safeguards businesses and individuals by identifying and mitigating potential threats effectively.

  • How to choose the best fraud detection software

    Select the best fraud detection software by evaluating features such as real-time analytics, machine learning, and adaptability. Choose a comprehensive fraud management solution that meets your business needs and safeguards against potential threats.

  • What is enterprise fraud management solution?

    Enterprise fraud management (EFM) solutions help protect large organizations from financial losses, non-compliance, and reputational damage that are all caused by fraudulent activity. This is tailored to the type of business, depending on the most common fraud patterns. EFM uses real-time fraud event management to monitor activity, detect anomalies, and analyze data to assess risk and prevent fraud.