
Let Customers in,
Keep Fraudsters Out
Traditional fraud controls miss what BioCatch solutions see. Our behavior-first solution continuously analyzes web and mobile sessions in real time detecting subtle anomalies across behavior, devices, networks, and installed applications. By anticipating account takeover threats before fraudsters strike, BioCatch delivers the protection legacy systems can’t.
Partner with BioCatch, and take back
control of account takeover threats
173 x ROI
In the UK market, for every £1 invested in BioCatch, the customer saved £173
£ 300 k
Average savings per month from detection of authorized push payment fraud
66 %
Increase on fraud detection rates, minimalizing operational impact
95 %
Reduction in residual Zelle fraud losses in only two months after integration
Stop account takeover fraud before money disappears

Does the behavior in the session resemble a genuine user or criminal?
Everyone interacts with their device differently. Profile genuine users and fraudsters based on unique digital behavior traits such as mouse movements, typing cadence, and swipe patterns.

Do the movements show typical human behaviors?
Human patterns are imprecise with natural curves and shakes. Automated scripts and movements created by bots look different.

Are expert user patterns present?
Fraudsters often display advanced computer skills, use keyboard shortcuts, leverage remote access tools, and open developer tools or programmer consoles..

Are there timing anomalies?
Familiarity with data, applications, and payment processes can indicate whether a user is genuine or a fraudster. OTP vishing can be detected through typing cadence during OTP entry

Are the device, IP and network attributes known?
Device, IP and network data are an important part of detecting common types of fraud and creating behavioral insights.

Fraud detection ecosystems: How behavioral intelligence is elevating customer safety in digital banking
Download the white paper to uncover how behavioral intelligence is being used by financial institutions, both large and small, to increase the effectiveness of existing solutions within their fraud detection ecosystem, provide a shared technology framework to improve operational capabilities, and elevate customer safety in digital banking.


Remote access attacks
Bots and credential stuffing
large-scale attacks.
Phishing site detection