Depending on the use case and security scenario, users can be authenticated by combining different approaches like standard or behavioral biometrics. System can automatically and passively recognize who we are making it smooth, fast, and straightforward for the user.
A wildlife park in Hangzhou has landed in some legal trouble after implementing a facial recognition system. A court agreed the sudden switch to this system constitutes privacy infringement.
Use of biometrics will help to shorten lines and improve customer experience in airports but adoption is not high due to lack of understanding of the technology and its use cases.
Biometric technology is advancing rapidly and regulations need to keep up. What are some of the challenges and how they should be addressed to secure digital data?
A recent breach of biometrics giant Suprema has exposed 28 million records of facial recognition and fingerprint data including unencrypted username-password combinations stored in plain text.
When it comes to proving our identity, there’s no doubt that biometrics are more convenient, but are they truly more secure? Only if we take comprehensive steps to mitigate hacking while the tech is in its infancy.
New research study presented in Davos shows that developing economies that adopt digital ID systems have the potential to grow their annual GDP by up to 13 percent by the year 2030. The big caveat, however, are questions about personal privacy.
Landmark ruling affirms the right of private individuals to sue companies like Google and Facebook if they collect their biometric data without their written consent, even if there was no “harm” to the individuals.
Privacy risks inherent in the use of biometric identification are extreme. In the event of a data breach, you cannot reissue an iris or a fingerprint. As technologies become more advanced and surveillance on city streets the norm who will draw the line at just what level of invasive monitoring is permissible?
Singapore and Malaysia are rolling out national digital ID initiatives to streamline government services and improve efficiency. What are the lessons to be learnt from similar schemes like India's Aadhaar system?