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Fraud Prevention

Multi-channel, cross-application visibility and sophisticated analytics to protect against fraud.

ThreatMetrix enables visibility into user activities across all digital interactions and devices. Our Digital Identity Network provides historic context that helps detect user accounts being misused in real time.

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Account Takeover

Are users really who they claim to be?

Account takeover attacks have a long lasting effect on your customers and can be both costly and embarrassing for your organization to recover from. Protection from a wide range of account takeover attacks requires a holistic view of device, identity and behavior of users. By building profiles or personas, the ThreatMetrix Digital Identity Network leverages normal and abnormal usage patterns to distinguish between returning customers and cybercriminals. Furthermore, our solution can detect if botnets are involved by looking at the behavior of activities on actual webpages. We can also detect if malware has infected a legitimate user’s device to help customers avoid transacting with a compromised device. The ThreatMetrix solution enables businesses to:

  • Identify suspicious patterns of login requests from Web and mobile channels
  • Discover malware that has infiltrated a legitimate user’s device
  • Detect access attempts from risky or compromised devices and users
  • Look for suspicious computer configurations, including oddly-configured mobile devices or devices disguising their geo-location with hidden proxies or VPNs
  • Detect and prevent activities from bots, botnets and other scripted mechanisms

New Account Origination

Are false or stolen identities being use for registration?

Fraudulent account registration not only degrade consumer experience but also hurt your brand. ThreatMetrix provides a layered protection against new account fraud by identifying if location spoofing, botnets and crime rings are involved. Our solution uncovers the true location of devices, revealing if spoofing is involved to disguise actual whereabouts. TheatMetrix provides insight into whether botnets or crime rings are involved with creating multiple accounts with a single device or whether a single identity is being used across different locations. It helps filter out unwanted guests and can It helps filter out unwanted guests and can:

  • Find users hiding behind proxies or disguising their true location, IP address or device
  • Look for a single device creating many accounts
  • Filter out registrations from known malicious devices
  • Detect computer-generated names and emails, and botnets automating account creation

ThreatMetrix helps you filter out unwanted guests and can:

Find users hiding behind proxies or disguising their true location, IP address or device

Look for a single device creating many accounts

Filter out registrations from known malicious devices

Detect computer-generated names and emails, and botnets automating account creation

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Payment Fraud

Are purchases being made with stolen cards?

Cybercriminals’ illegitimate transactions not only create revenue problems for your organization but also frustrate your customers. Protection from these fraudulent transactions requires the ability to distinguish between your returning customers and cybercriminals with stolen cards. ThreatMetrix protects against payment fraud by evaluating compromised devices, locations and bots. Our solution detects if cybercriminals have compromised legitimate users devices to transact through Man-in-the-Middle (MitM) attacks. ThreatMetrix reveals location specifics about the originating request, detecting if spoofing is involved as a disguise. It can also detect unusual behaviors from botnets involving computer-generated payment details. With our cloud-based model businesses can:

  • Tap into a global network of billions of historic payments to find known malicious devices and IP addresses
  • Leverage sophisticated analytics to scrutinize every payment transaction
  • Detect MitM or Man-in-the-Browser malware designed to hijack transactions from a legitimate customer’s device
  • Find behavioral and device mismatches behind stolen credit cards, such as a mismatched location or one device with many credit cards
  • Build payment fraud prevention into your mobile application for secure mobile transactions
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