A new study shows the accuracy of facial recognition algorithms has markedly improved over the past three years, though one of the report's authors suggests they're not at the level to be a highly reliable form of authentication.
Simple credentials, such as passwords, are a hacker's best friend, says Phillip Dunkelberger of Nok Nok Labs, a founding member of the FIDO Alliance. That's why the alliance is working to reduce reliance on passwords by enabling advanced authentication.
To help reduce reliance on passwords, the FIDO Alliance is developing standard technical specifications for advanced authentication. Michael Barrett and Daniel Almenara of FIDO describe the impact the effort could have in 2014.
Call center fraud is one of the leading threats that financial institutions will battle next year because fraudsters consider the centers to be an easy target. But what can be done to mitigate this threat?
Knowledge-based authentication is no longer reliable, says fraud expert Avivah Litan, an analyst at Gartner. She explains why so-called behavioral authentication is the only reliable way to verify users.
Apple's inclusion of a fingerprint scanner in its iPhone 5S is an important step toward bringing biometrics into the mainstream. But there's a long way to go before biometrics supplant passwords at the enterprise level.
Iris scanning is becoming old hat for authenticating individuals entering secured facilities or crossing international borders, but it remains several years away for use in providing access to IT systems.
Call center fraud is increasing, and it's not just financial institutions feeling the pain, says Pindrop Security's Matt Anthony. Now, a database of phone numbers aims to help organizations mitigate risks.
Smart phones that give many IT security managers headaches in developing security policies are being used in increasing numbers to help safeguard systems and applications, thanks to more muscular biometric features, says Steve Vinsik of Unisys.
Imagine sitting in a bar, as a stranger snaps a photo of you, and then uses that image to find out who you are using facial recognition technology. It's the type of practice that the staff of the U.S. Federal Trade Commission wants to discourage.