Oxford BioChronometrics SA

User Behavior to Block Bots, Stop Spam & End Fraud.

Oxford BioChronometrics has one focus: to use behavior to protect digital assets from unauthorized access. Using unspoofable behavioral algorithms, we can distinguish between unauthorized and authorized devices and bots, identify bots from humans and humans from each other. Using hundreds of behavioral markers, the algorithms weight different behaviors and conduct thousands of calculations while the user is logging in or engaging with a web page, ad or network. Because every human behaves differently and bots behave completely differently from humans, OxBio’s Human Recognition Technology can create a signature that is more unique and reliable than a fingerprint or retina scan. That signature is called their Electronically Defined Natural Attributes, or e-DNA. It can be used to stop digital ad fraud (a $46 billion problem), eliminate the need for user names and passwords, reduce the need for two-step verification, prevent bot fraud and scraping and identify all devices on a network passively. Thanks to the complexity of the analysis, there is currently no technology which allows for e-DNA to be hacked or spoofed, and nothing on the market approaches the level of scrutiny and reliability it offers, making it the new “proof positive” of identification.