(Imagen 4)
Sometimes common sense isn’t enough to stop deepfake fraud. Marc Ricker of iValt asserrts that a unified response helps also.
“Too often, network teams focus on availability, while security teams chase threats after the fact. That separation creates gaps — gaps that attackers exploit.”
Ricker’s solution:
“iVALT unifies remote access and identity security through:
Instant, passwordless biometric authentication
AI-resistant technology that stops deepfake and synthetic identity fraud”
iVALT trumpets the use of 5 factors: device ID, biometrics, geolocation, time window, and “app code.”
- I was curious which biometric modalities and vendors iVALT supported, so I looked it up.
- iVALT appears to use PingOne DaVinci, which orchestrates everything.
- The only biometrics specifically mentioned by iVALT are those captured on a mobile phone.
- But it’s unclear to me whether these are the biometrics captured by the phone’s operating system (for example, TouchID or FaceID on iOS), third party biometrics, or all of the above.
Of course, most people don’t care about the minutiae of supported biometric modalities.
But some do…because all biometric algorithms do NOT provide the same accuracy or performance.
Bredemarket 