Leveraging SIEM for Comprehensive Threat Detection and Response

Venkata Reddy Thummala¹ & Prof. (Dr) Punit Goel²

¹ Visvesvaraya Technological University (VTU), Belgaum, Karnataka, India tvenkatareddy@gmail.com
²Maharaja Agrasen Himalayan Garhwal University, Uttarakhand, drkumarpunitgoel@gmail.com

Abstract

Security Information and Event Management (SIEM) systems have emerged as critical tools in the modern cybersecurity landscape, enabling organizations to detect, analyze, and respond to evolving threats effectively. SIEM combines real-time monitoring, advanced analytics, and log management to provide comprehensive visibility into network activity and potential security vulnerabilities. By aggregating data from diverse sources such as firewalls, endpoint devices, and cloud platforms, SIEM enables the correlation of events to identify anomalies and potential breaches. This paper explores the pivotal role of SIEM in enhancing threat detection and response capabilities. It highlights how SIEM leverages advanced machine learning algorithms and behavioral analytics to identify patterns indicative of malicious activities. The integration of automated responses and alerts further empowers security teams to mitigate risks promptly, minimizing the potential impact on organizational assets. Additionally, the paper delves into the challenges of implementing SIEM solutions, including managing the high volume of alerts, ensuring system scalability, and addressing data privacy concerns. Strategies to overcome these challenges, such as tuning rule sets and leveraging integration with threat intelligence platforms, are discussed. As cyber threats grow in sophistication, SIEM systems play a crucial role in strengthening organizational resilience by providing actionable insights and enabling proactive threat management. This paper underscores the necessity of a robust SIEM implementation for businesses aiming to safeguard their operations in an increasingly interconnected digital environment. By leveraging SIEM effectively, organizations can not only detect threats but also build a dynamic and adaptive cybersecurity posture.

Keywords

Security Information and Event Management (SIEM), threat detection, cybersecurity, real-time monitoring, log management, behavioral analytics, machine learning, automated response, threat intelligence, organizational resilience.

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