ACCOUNT TAKEOVER PROTECTION

Before Cash Disappears

BioCatch Account Takeover Protection generates advanced behavioral insights to provide you with the continuous, real-time visibility you need to detect more fraud, increase trust, and improve customer experience in your digital channels.

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Account Takeover Fraud In Numbers

$6.8

Billion

Total losses attributed to account takeover fraud in 2019 in the U.S.

£479

Million

Total losses attributed to authorized push payment fraud in 2020 in the UK

38%

Percent of consumers who were the victim of account takeover in the last two years

$80K

Global average loss per incident of business wire transfer fraud

How to Build Trust and Safety into your Digital Channels

BioCatch risk models leverage innovative research and a decade of data to analyze a user’s physical and cognitive digital behavior and continuously monitor web and mobile sessions to distinguish between genuine users and criminals, whether human or automated attacks such as bots, malware, or Remote Access Tools (RAT).

By profiling user behaviors such as mouse movements, typing cadence, swipe patterns or device orientation, the BioCatch platform identifies statistically observed norms for “good” and “bad” behavior. Powered by machine learning, the platform authenticates users against their historical profiles and generates a risk score so you can determine the appropriate course of action.

behavior pyramid

5 Things Fueling Account Takeover

Several modes of operation are used by cybercriminals to successfully commit account takeover fraud, including automated credential stuffing, malware, and remote access tool attacks. Gain insight into what is fueling the growth in account takeover attacks, what traditional fraud prevention tools are missing, and new strategies and approaches to fight back.

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5 things fueling Account Takeover ebook cover

 

Expose Account Takeover Fraud With Behavioral Biometrics

BioCatch exposes a broad range of account takeover threats that bypass traditional fraud prevention and authentication defenses.

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  • mATO icon

    Manual Account Takeover
    Detect cases of stolen account credentials that are used to gain unauthorized access to user accounts through manual login requests by observing expert user patterns and lack of data familiarity indicators.

  • Bot icon

    Automated Attacks
    Detect behaviors that indicate bots or other automated tools.

  • emulator icon

    Financial Malware
    Identify behaviors, such as disruptions in hand-eye coordination and scrolling patterns, that are associated with financial malware.

  • RAT icon

    Remote Access Tools (RAT)
    Uncover behavior patterns that indicate the use of Remote Access Tools in a user session. RATs are common in many popular financial malware families and often used in advanced social engineering attacks such as Help Desk scams.

Actionable Behavioral Insights Start Here

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