BioPassword® for Enterprise Networks 5.0

One of the most dangerous security threats to the intellectual property of the networked enterprise is identity theft. BioPassword® for Enterprise Networks combats identity theft problems associated with using traditional password security, such as internal security breaches, social engineering, password-cracking programs, and employee negligence. BioPassword targets these problems by layering a proven biometric technology, keystroke dynamics, with your existing password methodology to provide strong user authentication and restore the integrity of the most widely used user authentication tool — the password. Passwords are the most common approach to user authentication, convenient to use, low or no cost to implement, familiar, and are non-intrusive to your network users unlike other methods used to authenticate users.

Passwords Under Fire

"Passwords provide the most common mechanism for authenticating users who need access to computers and networks. They also can be a weak link if users choose common passwords to more easily remember them." — Bill Gates.

The use of passwords has come under fire in recent times as they can be guessed, shared, written down, forgotten, stolen by observation, and cracked. Using popular password cracking tools (such as L0pht Crack 2.52-3.0 or Sam Grab) hackers can crack your Windows® network passwords 100% of the time. Using BioPassword, the security provided by network passwords to your organization increases exponentially, dropping the unauthorized access rate to virtually 0%.

BioPassword Restores Password Confidence

BioPassword permits network users to gain access to resources only after being authenticated by two-factor identification. This method goes well beyond standard password usage, by delivering highly secure and reliable user authentication (usually referred to as strong user authentication). BioPassword uses two methods (or factors) to accurately identify individuals before granting them access to critical corporate information and resources. First, the user must know both the correct user name and password and second, the user's typing rhythm must match the biometric template that has been stored and secured by the system.