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BioCatch

collects and analyzes more than 500 cognitive parameters to generate unique user profiles and model different types of genuine and malicious behavior. The BioCatch continuously authenticates users to protect against cyber threats and fraudulent activity, such as account takeover and RiTB, reducing false alarms while providing substantial returns on investment.

Location:Tel Aviv, Israel
Founded: 2011

Fraud Solution Profile

BioCatch is a cybersecurity company that delivers behavioral biometrics, analyzing human-device interactions to protect users and data. Banks and other enterprises use BioCatch to significantly reduce online fraud and protect against a variety of cyber threats, without compromising the user experience. Today, BioCatch monitors close to 6 billion transactions per month, delivering significant ROI to marquee financial services and enterprise organizations around the world.

The technology works by collecting over 2000 parameters. These can be classified into two broad categories: behavioral (how the user interacts with their device) and cognitive (how does the user interacts with the specific application). A user profile is generated by selecting the 20 parameters that are most unique to the individual.

BioCatch technology is deployed in two main use cases:

  • Account Takeover, where credentials are compromised either by an attacker or a malware or bot that is attempting to impersonate the legitimate user and conduct a fraud. Using unique patented Invisible Challenges techniques, BioCatch injects subtle tests into a session to elicit a response from a user that will divulge whether they are the legitimate account The system analyzes the user activity passively and continuously from login to logout, to return a real time score that feeds into the business rule engine or case management system.
  • Identity Proofing, to detect the use of stolen or synthetic identities in online applications. The system distinguishes between a real user and an impostor by recognizing normal user behavior versus fraudster behaviors, even when no profile exists. Understanding how criminals behave online, BioCatch looks at multiple elements like how well an applicant knows the process and how well they know the information that is being entered to generate a risk score.

The technology is implemented via a JavaScript for web applications and an SDK for mobile applications.

 Customers

Information upon request

 Industry
Financial Services
 Primary Functionality
Fraud & AML Platform
 Fraud Type
Account Takeover, New Account Fraud, Payment Fraud
 Technology
Behavioral Biometrics, Machine Learning