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All Journal Jurnal Ilmiah Biosaintropis (Bioscience-Tropic) DERIVATIF Martabe : Jurnal Pengabdian Kepada Masyarakat Inisiasi Prosiding Seminar Nasional Universitas Ma Chung Prosiding Seminar Nasional Pengabdian Masyarakat VISA: Journal of Vision and Ideas Journal Pemberdayaan Ekonomi dan Masyarakat
Wibisono, Nugroho
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Implementasi Extended Detection and Response pada Security Operation Center dan Computer Security Independent Response Team dalam Peningkatan Sistem Keamanan Informasi Guna Meningkatkan Sistem Pertahanan Informasi Luqman, Fathan; Rimbawa, H.A. Danang; Sunarta, Sunarta; Wibisono, Nugroho
VISA: Journal of Vision and Ideas Vol. 5 No. 3 (2025): Journal of Vision and Ideas (VISA)
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v5i3.9145

Abstract

The rapid development of digital technology increases the complexity of cyber threats, which are now increasingly sophisticated and organised, targeting individuals, enterprises and critical infrastructure. Therefore, an information security system capable of automatically detecting and responding to threats is an urgent need. This research aims to examine the implementation of Extended Detection and Response (XDR) in the Security Operation Centre (SOC) and Computer Security Incident Response Team (CSIRT) to improve the effectiveness of information security systems. The method used is experimental with testing in a controlled environment using Wazuh as the XDR platform. This study analyses how XDR collects, analyses and responds to log data in real-time to detect threats more accurately. The results show that XDR is able to improve threat detection by integrating logs from multiple sources, including endpoints, networks, and cloud services, and automating incident mitigation for faster response. The integration of Machine Learning in XDR is also proven to improve attack detection accuracy, reduce false positives, and speed up incident analysis. In conclusion, XDR is a comprehensive solution for modern information security systems, especially in the context of SOC and CSIRT, with its capabilities in detection-based analytics, multi-source data correlation, and automated response to threats. Based on this test, the efficiency of XDR in detecting and mitigating malware attacks is 98.3% using up to 60 malware and respons time under 10 second. Therefore, the implementation of XDR is recommended for organisations looking to enhance their security systems in a more adaptive and proactive manner in the face of evolving cyber threats.
Co-Authors Adisya Defani, Dita Amanda Yuniasari, Tesalonika Amelia Kurnia Sandra Amelia Ulmaladipa Ashari, Gita Ayu Istikhomah, Dwi Azis Ilham Christo, Jonatan Denis Mery Mirza Dwi Saadah, Fina Eva Nur Safitri Istiatin, Istiatin Istikhomah, Dwi Ayu Khakam Farisy Kurrotul Uyun Locita Afni, Nayang Luqman, Fathan M. Dzikri Askhal Hubi Maro’ah, Siti Marwati, Fithri Setya Maulana, Gilang Ramadhan Mustofa Syahroni, Zainal Nafi’ah, Hanan Nita Sofiani Zahra Rachmania Salsabila Junaidi Rahma Putri, Citra Destya Rahmatika Jannati, Aulia Rimbawa, H.A. Danang Saadah, Fina Dwi Septianti Putri Cahyani Sulton Fathonah, Isnaeni Sunarta Sunarta Tata Tsany Putri Virgin Siska Aulia Widyaningrum, Ike Wulandari, Dian Novita