AI-Enhanced Access Control and Authentication

Abstract

In today’s digital landscape, data integrity and security are critical. Traditional methods like passwords and Role Based Access Control (RBAC) are becoming less effective against evolving threats and sophisticated cyberattacks. These methods are prone to phishing, brute force attacks, and insider threats, underscoring the need for more robust security measures. Artificial Intelligence (AI) offers a promising solution by introducing adaptive and predictive capabilities. AI enhances access control by analyzing user behavior, detecting anomalies, and making real time decisions. For instance, AI can identify unusual activities and trigger alerts or additional verification steps to prevent unauthorized access.
In authentication, AI improves security through biometric analysis, multi factor authentication (MFA), and continuous authentication. AI powered biometric systems, such as facial recognition, provide accurate authentication while minimizing false positives. AI also streamlines MFA by selecting appropriate factors based on context, enhancing security and user experience. Despite challenges like ensuring data privacy, mitigating bias, and integrating with legacy systems, AI can revolutionize access control and authentication, offering superior security.
This paper examines the role of AI in improving access control and authentication, detailing the benefits, challenges, and future potential of integrating AI technologies into these vital security areas.