Advanced Persistent Threat (APT) Detection Using SIEM: A Review of Techniques and Tools

APTs are hard to fight in cybersecurity since they are difficult to spot, aimed at a single target and continue for a long time. Advanced threats evade traditional security solutions which is why it’s important to use stronger defense systems. Because they centralize the collection of security events, security information and event management (SIEM) systems have grown in significance, compare them instantly and analyze them for large organizations. In this review paper, it analyzes existing ways and tools for finding APT threats using SIEM platforms. First, the article describes what APTs are and how SIEM works. Different ways to detect APTs, such as using signatures, abnormal behavior and machine learning, are looked at, and their pros and cons are presented. The document explains how well-known SIEM programs perform in terms of capabilities and how easily they can fetch information from third-party sources of threat intelligence. When performing a detailed literature review, the author summarizes current research, explores new frameworks and highlights the challenges that come with the lack of data, trouble measuring outcomes and limited resources. To finish, the paper highlights upcoming trends and research goals designed to boost SIEM’s protection against APTs by urging the use of adaptive, smart and situation-aware security architectures. The main purpose of this study is to give researchers and practitioners advice on how to secure organizations against difficult cyber threats.