Artificial intelligence for security measures against malicious links

Abstract

This paper analyzes the integration of artificial intelligence (AI) into security to impede the continual risk of malicious links. In a dynamic digital ecosystem, links create an ongoing challenge to user security. In this paper, we propose developing and implementing machine learning (ML) models that enable real-time detection and suppression of malicious links. Through training on diverse datasets of malicious links, the AI system can evolve strategies. Rigorous testing ensures the efficiency of the integrated protection. The outcome is to redefine security by amplifying an AI-driven solution, offering a proactive firewall against spam links, and improving overall digital safety for consumers.