At BioCatch, we take a human approach to everything we do.
We recognize consumers not as vulnerabilities in a financial institution’s fraud-prevention and anti-money laundering strategy but as the very foundation of that architecture.
By getting to know those customers – the when, how, why, and where they bank – our machine learning models reveal patterns in user behavior that, when combined with physical device intelligence, can distinguish the criminal from the legitimate.
Only behavior can accurately signal human intent, providing actionable intelligence throughout the customer’s digital journey.
Fighting with yesterday's playbook and tools won't stop today's threats.
The dawn of the age of artificial intelligence creates a critical inflection point across all industries – financial services and fraud-fighting very much included.
Criminals will be among the first to adopt these new technologies. Waiting to respond only guarantees a future built on reactive defenses.
This is less a fight than it is a race. Behavior is how financial institutions can lead.
Cybersecurity Ventures estimates global cybercrime will cost $10.5 trillion this year.
From 2018 to 2022, the U.S. federal government saw fraud losses more than double from $233 billion to $521 billion.
NASDAQ estimates more than $3.1 trillion in illicit funds funneled through the global financial system in 2024 alone.
Global threats require global scale.
No vendor has ever deployed behavioral intelligence at the scale we've proven possible. We continuously analyze more user sessions (15 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.
We are a data science company built and powered by a team of insatiably curious, detail-oriented problem-solvers, maniacal about outmaneuvering the planet’s fraudsters, scammers, and financial criminals. Our unique, integrated technology, service and support model provides each of our customers with a team of engagement managers, threat analysts, global advisors, and solution engineers to ensure rapid time-to-value, maximum uptime, decreased fraud incidents, and the best possible customer experience across all our solutions.
511
Million
users protected
1.5
Billion
devices identified
14.9
Billion
user sessions analyzed per month