"Through cognitive analysis, BioCatch helps reduce instances of Account Opening fraud, which is particularly challenging to detect when the user is a new user and doesn’t have a historical digital footprint with the organization."
John Tolbert, Lead Analyst, KuppingerCole
How Can You Trust a New Customer You Have Never Seen Before?
Through innovative research, a decade of data, and proven results, BioCatch risk models analyze a user’s physical and cognitive digital behavior to distinguish between genuine users and criminals in order to detect fraud and identity theft and to improve customer experience. By profiling user behaviors such as mouse movements, typing cadence, swipe patterns or device orientation, the BioCatch platform, powered by machine learning, identifies statistically observed norms for “good” and “bad” behavior.
Cybercriminals input data differently from genuine users
Cybercriminals
- Dont’ have familiarity with data
- Repeatedly delete and fix errors
- Rely on copy and paste, or automated programs
- Familiarity with new account opening process and online form
Genuine Users
- Different pace and navigation patterns
- Display the use of long-term memory
- Hesitate around fields criminals confidently fill
- Use the AutoFill feature for personal details.