Authentication System for Enterprise Security
Sourabh Suman · International Journal for Research in Applied Science and Engineering Technology · 2023
Abstract: Authentication plays a central role in boosting an organization’s security posture. It helps enable an organization to keep its systems secure by permitting only authenticated users (or processes) to access the protected resources, such as computer systems, networks, databases, websites, and other network-based applications or services. Passwords are the more traditional form of authentication, but they constitute a weak form of protection; users are prone to bad password practices, such as reusing passwords, using predictable passwords, or even sharing passwords with others. To combat this issue, more companies are leveraging artificial intelligence (AI) and machine learning (ML) technologies, such as deep learning-based techniques, to develop better and more secure authentication approaches. AI/ML algorithms have been shown to bolster cybersecurity by protecting devices against cyber-attacks and preventing fraudulent activities. In this blog post, we introduce an AI solution based on deep learning and computer vision to perform face recognition-based biometrical authentication. So, what exactly does face recognition do? Face recognition is a broad problem of identifying or verifying a person in digital images or video frames through facial biometric patterns and data. The technology collects a set of unique biometric data of each person associated with their face and facial expression to authenticate a person. Face recognition technology is mostly used for two types of tasks: