Securing the Expanding Attack Surface: Challenges and Strategies for Enterprise Cybersecurity in the Post-Snowden Era

Meera, Nandagopal (2019) Securing the Expanding Attack Surface: Challenges and Strategies for Enterprise Cybersecurity in the Post-Snowden Era. International Journal of Trend in Scientific Research and Development, 3 (4). pp. 1954-1964. ISSN 2456-6470

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Abstract

The post-Snowden era has fundamentally reshaped the landscape of cybersecurity, introducing unprecedented challenges and necessitating the evolution of strategies to protect against a rapidly expanding attack surface. As enterprises increasingly embrace digital transformation, the volume, complexity, and sophistication of cyber threats have grown exponentially. This paper examines the shifting cybersecurity landscape in the wake of the Snowden revelations, focusing on the new vulnerabilities introduced by the proliferation of cloud technologies, the Internet of Things (IoT), and the adoption of remote work models. It explores the core challenges faced by organizations, including data privacy concerns, the erosion of traditional perimeter-based security models, and the growing sophistication of state-sponsored cyber threats. Drawing on industry best practices, the paper highlights key strategies for securing the expanding attack surface, including the implementation of Zero Trust architectures, the use of advanced threat detection technologies such as AI and machine learning, and the importance of robust encryption and data protection protocols. Furthermore, it emphasizes the critical role of a proactive, adaptive cybersecurity culture within organizations, where continuous monitoring, employee training, and rapid incident response capabilities are essential for mitigating risks in an increasingly complex threat environment. Ultimately, this paper presents a comprehensive approach for enterprises seeking to navigate the evolving cybersecurity challenges of the post-Snowden era, ensuring resilience in the face of emerging threats.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	14 May 2025 08:49
Last Modified:	14 May 2025 08:49
URI:	http://eprints.umsida.ac.id/id/eprint/16064

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