Incognia Location-based Liveness Spoofing Detection identifies fraudulent attempts to fake liveness

Incognia launched a new location identity fraud detection module to support mobile fraud prevention for mobile apps across finserv, crypto, social networks, online gaming and more.

Incognia Location-based Liveness Spoofing Detection

Incognia’s latest solution module is Location-based Liveness Spoofing Detection which prevents fraud at onboarding caused by biometric liveness spoofing.

Fraudsters are creating online accounts using fake identities to take advantage of sign-up bonuses and to create “money mule” accounts for money laundering. To verify a new user’s identity on a mobile app, the onboarding process today typically involves taking a selfie and passing a biometric “liveness test.” Fraudsters are now using techniques to spoof liveness to trick the selfie liveness detection algorithms.

A common method is the use of facial images downloaded from the web to create deepfake videos. The use of free or low cost software packages and apps can be used to create effective deepfakes that can trick even award winning liveness detection tools. The Incognia Location-based Liveness Spoofing Detection solution is designed to prevent both injection and presentation deepfake attacks in real-time with no added friction to the mobile user.

Incognia enables enhanced mobile fraud prevention by using information from a user’s device to detect use of emulators, rooted or jailbroken devices, that are the main ways fraudsters leverage deepfakes to spoof legitimate liveness detection apps. The Incognia Location-based Liveness Spoofing Detection solution module goes beyond traditional biometric systems and addresses the device integrity and also the device location to accurately determine risk whenever a user performs a selfie and submits a biometric proof of liveness. This module can be used in conjunction with the Incognia Location Spoofing Detection and Global Mobile Address Validation modules.

Key benefits and features include:

  • Reduced friction during the onboarding process for legitimate good users
  • Detects biometric liveness spoofing, multiple app installs and high risk devices
  • Produces highly accurate risk-assessments

Performs device integrity checks, evaluates device/account behavioral analytics and checks Watchlists for known bad devices

“As fraudsters advance their techniques to trick liveness detection tools, it is critical that there is a solution on the market that can successfully combat the use of deepfakes at onboarding,” said André Ferraz, founder and CEO of Incognia. “We’re excited to expand Incognia’s fraud prevention capabilities even further with our latest solution module, which uses device integrity checks, device watchlists and emulator detection to prevent liveness detection spoofing caused by deepfakes. With this new module, we’re ensuring that customers across crypto, finserv, online gaming and more are protected during onboarding with a completely frictionless solution.”

Incognia fraud prevention modules are available now.

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