Hello and welcome to Tech-blogger.com: our ongoing series about enterprise technology. Today we’re looking at biometric authentication, the latest and perhaps most innovative development in identity and access management. How does it work? And should your enterprise consider deploying it? Traditional biometric authentication uses the distinct biological or physiological characteristics of users to verify their requests.
A biometric authentication solution stores the biometric data in a secure database and then compares inputted biometric factors to confirm the login. The benefits of this approach over text-based passwords become apparent almost immediately. There’s no way for anyone to “forget” their biometric factors, like you might with passwords, as you’re usually attached to them. Biometrics can’t be guessed or cracked in the same way as passwords, and as long as they remain securely stored, can’t be stolen either. Also, biometrics can facilitate workflows by allowing for more instantaneous logins and by freeing up your IT security team from having to do continual password retrievals.
Previously, biometric authentication was the stuff of science fiction, depicted in film and television as advanced, expensive and rather bulky technology to convey over-the-top security to the audience. However, recent innovations in biometrics allow enterprises and users to embrace this new development in identity management. And if you’re among the 29% of Solutions Review viewers who are watching this video on a mobile device, there’s a good chance you used biometrics to unlock it; as an estimated 429 million smartphones offer biometric authentication today.
Actually, your enterprise can also use the proliferation of mobile devices to your advantage. Enterprises with biometric authentication solutions can often sync with employees’ own mobile devices, allowing them to undergo authentication through them. This can become a huge bonus to workflows and to remote employees, as it increases security and reduces time at the login portal. Typically, people think of biometrics as using purely physical factors, such as fingerprinting, retina scans, facial recognition, and voice recognition.
While these all play a role, biometric authentication also incorporates new dimensions such as behavioral biometrics. This performs continuous authentication by ensuring users (who passed the initial login portal) type, act, and otherwise conduct themselves according to baseline behaviors. Users who don’t can be barred from further acting until their identity can be otherwise verified. Biometrics are often used as a major component of modern multi factor authentication.
In turn, biometric authentication benefits from the other layers of security found in MFA; including geofencing, time of request monitoring, and hard tokens. The more security layers that stand between users and access, the more difficulty hackers face trying to breach your network. While biometric authentication provides a stronger single-factor authentication method than passwords, relying on any one security layer alone can put your enterprise in jeopardy. Biometric authentication should be a key consideration for any enterprise’s cybersecurity, but it should only serve as one part of your overall identity management platform.
That’s all for now. For more information about Biometric Authentication, cybersecurity news, or our comprehensive Buyer’s Guides, visit Solutions Review.com. And be sure to join us next time when we explore the top multi factor authentication capabilities.
Computer algorithms are step-by-step instructions that tell the computer what to do. With fingerprint recognition, they are used to extract features called minutia points, the unique points in the fingerprint ridge where it ends or splits in two. With iris recognition, they convert the unique iris patterns into a binary code, made up of zeros and ones, like a barcode of the eye. So when we say algorithms, really, were talking about image processing algorithms, algorithms that the computer program can use in order to extract features that can subsequently be used for matching purposes.