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Remove Friction & Fraud From Device Change

Protect accounts from unauthorized device change and SIM Swap fraud

Use location behavior and device fingerprinting to verify device integrity and detect unauthorized device changes before fraud happens.

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  • Reduce ATO

    Reduce ATO

  • Reduce friction

    Reduce friction

  • Reduce fraud

    Reduce fraud

Incognia Phone
  • Detect unauthorized device changes

    Real-time detection of device change at login

    • Recognize changes in device and verify consistency of user location behavior
    • Detect anomalies in device characteristics, including use of emulators and spoofing
  • Recognize trusted devices

    Identify key device characteristics linked to accounts

    • Recognize trusted devices and users and deliver frictionless device change
    • Identify fraudulent devices and fraud farms and stop fraud before it happens
  • Detect device spoofing

    Detect emulated or compromised devices

    • Detect use of mobile emulators
    • Detect use of location spoofing 

     

Verifying Device Integrity - Detecting SIM Swap

In today's world, mobile users change their devices, often, either because they are upgrading, or replacing a lost or stolen device. SIM Swap fraud takes advantage of this dynamic to initiate unauthorized device changes with the intent of account takeover.

Ensuring device integrity is the first step in mobile fraud prevention, however users also want an easy to use method for changing their device, that allows them to recover their accounts quickly. 

Incognia works silently in the background when a user attempts to login with a new device, checking their exact location and comparing it with their historical behavior. If there is a match, a low risk score is delivered. If there is no match a high risk is delivered. All processes happen in background, adding no friction to the user.

  • Multi-factor authentication

    User attempts login

    The user enters login credentials.

  • Device is checked

    Device is checked

    Incognia checks the user’s device for emulation,  location spoofing and against the device watchlist to detect signs of potential fraud. 

  • Location is checked

    Location is checked

    Incognia matches the user’s current location with the user's location behavior and combines with device intelligence to assess risk and deliver a risk score. With Incognia, low-risk logins enjoy a friction free experience.

Location and Device Intelligence

We make it easy to view and access risk assessment details, with supporting reason codes, in summary and detailed view dashboards.

  • Deatailed summary

    Summary and detailed views of risk assessments

  • Export feature

    Export feature for in-depth reporting

  • icon-puzzle

    Stand-alone fraud detection, or integrate our APIs with any risk engine

Incognia Dashboard
Incognia's dashboard
Designed for developers

Fast SDK integration & easy-to-use APIs

We provide a lightweight mobile SDK and intuitive APIs to make it easy for you to add location and device intelligence to risk assessments throughout the user journey.

SDK Payload Example
Twitter Attack - Was it SIM Swap Again? Cover
Blog Post

Twitter Attack - Was it SIM Swap Again?

The Twitter attack illustrates how social engineering techniques and SIM Swap attacks provide a backdoor to account takeover.

Mobile App Friction Report: Device Change Cover
eBook

Mobile App Friction Report: Device Change

Read insights and analysis of the friction for changing devices and authenticating at the twenty-one leading financial services apps in the US.

Risk-based authentication for account takeover reduction Cover
Case Study

Risk-based authentication for account takeover reduction

Will Bank, a Brazilian fintech, achieves 80% reduction in account takeover and 90% cost reduction on mobile with Incognia's risk-based authentication...

Start using private location awareness in your app.