In most organizations, security is one of the primary concerns puzzle every department, and data security takes center stage. Thus, many companies look forward to implementing advanced security mechanisms to protect data.
Biometrics
Biometrics is the conventional security model for authenticating employees using fingerprint and iris scans. Biometric systems utilize sensors to identify and establish individuals based on their physical traits, such as fingerprints, faces, iris, and voices. According to the application of biometric sensors, these are classified into various types such as fingerprint recognition, iris recognition, DNA matching, and Ear acoustic authentication.
How is AI smarter enough than Biometrics?
Improvements in Artificial Intelligence (AI) can boost trust in Biometrics. In some instances, biometric systems analyze partial fingerprints, generating incorrect results. Researchers have prepared AI and machine learning algorithms that can create synthetic fingerprints to make them more accurate. Such fingerprints can be utilized to surpass the force attacks by testing every generated fingerprint until the target device is unlocked.
AI-powered Biometrics
The combination of AI and Biometrics can develop more precise systems that can protect devices against cyber attacks and also be used to abolish fraudulent activities. These can team up in the following manner.
Keystroke Dynamics
Keystroke dynamics is the method of identifying and authenticating people based on their typing patterns. With the help of AI-powered Biometrics, systems can track the information of individuals through the time interval between the two most frequently used keys.
Facial Recognition
Facial Recognition is a notable feature that is incorporated in various smartphones. With the support of large volumes of available data, AI can successfully authenticate an individual's face using 3D Biometrics.
Voice Recognition
AI can enable biometric systems through millions of voice samples of various users. AI-based voice recognition can process a voice signature of an individual by evaluating their voice patterns such as speed, accent, tone, and pitch.
Gait detection
It is how individuals can be identified based on how they walk. A combination of AI and Biometrics can precisely identify the individuals with the help of floor sensors.
