Malware fraud is designed to be invisible, hiding inside sessions that appear completely normal to every control monitoring them. The institutions able to catch malware fraud the earliest are the ones that can read what is happening inside a session and not just the credentials used to start it.
The challenge
Once installed on a customer device, malware can steal credentials and one-time passwords, monitor user activity, and in more advanced cases initiate transactions directly from the infected device. Because this activity occurs within genuine customer sessions and mimics normal usage patterns, it is difficult to detect using traditional controls, driving financial losses, operational strain, and prolonged post-incident investigations.


How we solve for it
BioCatch distinguishes genuine human interaction from automated or scripted activity across the entire digital session. Mouse movement geometry, keystroke timing, and session coherence expose non-human patterns even when logins and navigation appear legitimate. Perfectly linear cursor paths, uniform timing, and character-by-character input at unnatural speeds reveal malware operating inside trusted sessions. With BioCatch, financial institutions can detect and disrupt malware-executed payments in real time, before losses escalate and investigations begin.
How intent reveals itself
Behavioral inconsistency
Interaction patterns that deviate from the user’s established profile indicate possible session manipulation.
Input manipulation signals
Copy-paste activity or disrupted typing sequences suggest injected or altered inputs.
Non-human
interaction behavior
Mouse-movement patterns that lack natural variability indicate automated or externally controlled execution.
Synthesized intelligence:
Unified Collection. Continuous Telemetry. Behavioral Sequencing. Predictive Analysis. Real-time Decisioning.
No vendor has ever deployed behavioral intelligence at the scale we've proven possible. We continuously analyze more user sessions (16 billion and counting), collect more signals (3,000 plus), deliver more trusted insights, and protect more digital banking customers (more than half a billion) than any other behavior-centric digital-fraud-prevention solution provider. And we do it in the context of their device, the applications they use, and their transactional tendencies to deliver a trusted and accurate signal for a frictionless and secure customer experience.




