iProov biometrics and liveness detection to secure workforce IDs on Microsoft Entra
Enterprise workers using Microsoft Entra ID can now use iProov biometrics and liveness detection to log into company systems through…
Biometric liveness refers to the use of computer vision technology to detect the genuine presence of a living user, rather than a representation such as a photograph or a mask. Presentation attack detection (PAD) technologies can utilize active or passive detection methods. Typically associated with facial recognition, liveness can also be applied to voice recognition to distinguish present speakers from audio recordings, and finger or palm biometrics such as by detecting blood flow, and even iris recognition. Find liveness detection solutions.
Enterprise workers using Microsoft Entra ID can now use iProov biometrics and liveness detection to log into company systems through…
The U.S. Department of Defense has awarded a U$2.4 million contract for deepfake detection of video, image, and audio content…
Mitek Systems has launched what it calls the first multilayered solution to the growing challenge posed by generative AI for…
The U.S. Department of Homeland Security (DHS) has identified the need for innovative software solutions to counter the growing threats…
Liveness detection from Unissey has become the first to achieve compliance certification under the Injection Attack Detection (IAD) program as…
It’s one thing to know your customer, and another thing to know your customer is real. As GenAI becomes a…
Reality Defender has partnered with TaskUs, a provider of outsourced digital services, to improve protection against deepfake fraud and harmful…
The growing prevalence of generative AI has unlocked positive potential across a range of industries, but it has also amplified…
From new studies of voice deepfakes to developing innovative ways to tell a fake face from the reflection in the…
European Cyber Week is wrapping up in Rennes, Brittany, and Thales is leaving with a fresh metamodel for detecting AI-generated…