Biometric Signature ID, based in Dallas, Texas, is the leading developer of biometric ID verification software solutions using multi-factor authentication (MFA).
Whether it's securing banking transactions, safeguarding healthcare records, gating exams, or ensuring online purchases, BSI helps organizations to control risk, reduce fraud, manage security and maintain compliance.
Unlike other biometrics like fingerprints, BioSig-ID gesture biometrics do not require any special hardware. Unlike all other biometric signature applications, BioSig-ID uses dynamic biometrics to create user passcodes for sign-in, replacing typed PINs or passwords which can be easily stolen.
With a near 0% False Acceptance Rate, hackers cannot crack both the passcode and the unique individual's way of drawing it. This original technology is cloud-based and represents a new generation in identity verification. Its multi-factor authentication relies on two factors: a) something the user knows and b) something the user is.
Static physical biometrics like fingerprints, palms or iris scans can be hacked once they enter a database. And once taken, can never be replaced. But dynamic gesture biometrics are complex, never quite the same, and represent a behavior (how the passcode is created) that can never be taken.
This revolutionary software-only biometric called BioSig-ID has been patented twice and can be used anywhere, any time, on any device. Users create a unique biometric passcode using just a finger or mouse that imposters cannot replicate.
BioSig-ID™ captures a user’s unique movements including direction, speed, length, angle, pressure and height as they draw and create their passcode. Each time a user logs in their passcode is compared, and only if the patterns match will the legitimate user gain access to the online activity. Enrolment is simple and takes only a few minutes, with a reported 98% user satisfaction rate.
Independent third party testing by premier IT evaluator The Tolly Group found BioSig-ID blocked 99.97% of 10,000 imposter attempts to log in, even when they knew the passcode. They could not duplicate the speed, angle, direction, height, length or other metrics drawn by the original user. (In the test, 100% of the 9,499 imposter logon attempts were blocked. The false acceptance rate (FAR) of 00.03% is extrapolated from the accuracy data collected during those attempts.) Download the report now. To learn more about BioSig-ID's technology, read white papers and case studies.