Abstract
Abstract: In cyber security, APT stands for Advanced Persistent Threat. It refers to advanced and long-term cyber-attacks where an attacker gains unauthorized access to a network and remains invisible for a long period of time. APTs are difficult to detect and require a comprehensive security strategy that includes threat intelligence, technical intelligence, and continuous monitoring to effectively mitigate risk. This paper introduces a different approach to APT prevention by integrating advanced threat intelligence, machine learning algorithms, and proactive defense mechanisms. Our approach uses real-time data analysis, anomaly detection and behavioral profiling to identify potential threats early in their lifecycle
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