Data Leakage Prevention Adoption Model &amp; DLP Maturity Level Assessment

Alsuwaie, Mohammed A.; Habibnia, Babak; Gladyshev, Pavel

doi:10.1109/iscsic54682.2021.00077

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Often, DLP is integrated as part of a broader security solution, which, while generally beneficial, lacks detailed guidance on developing a step-by-step holistic DLP strategy. The approach by Alsuwaie et al [17], though one of the few cited methodologies, primarily focuses on technical solutions, leaving a gap in strategic DLP planning and implementation.…”

Section: Problemmentioning

confidence: 99%

On Data Leakage Prevention Maturity: Adapting the C2M2 Framework

Domnik,

Holland

2024

JCP

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In an evolving cybersecurity landscape marked by escalating data breaches and regulatory demands, data leakage prevention (DLP) has emerged as one of several defense mechanisms. This study underscores unresolved foundational issues within DLP, revealing that it remains a significant challenge in large organizations. This highlights the necessity for a holistic approach to DLP to effectively address these persistent challenges. By developing a DLP Maturity Model, adapted from the renowned C2M2 framework, this research provides a comprehensive tool for assessing organizational DLP capabilities and pinpointing critical gaps. Applying the DLP Maturity Model within the financial sector as demonstrated through a banking scenario showcases its relevance and added value. This application illuminates the model’s effectiveness in securing sensitive data and adhering to essential regulatory standards, highlighting its adaptability across various compliance landscapes. Implementing this DLP Maturity Model in a banking scenario showcases its applicability, highlighting its ability to formulate a strategy to secure sensitive data and comply with regulatory standards. This approach aligns with the concept of a continuous risk-based strategy, merging the holistic model to identify and address critical insider risks within organizations. The study addresses a specific gap in DLP research, notably the lack of a holistic framework for assessing and enhancing DLP strategies across organizations. It equips practitioners with a foundational tool to determine current DLP maturity and devise strategies for mitigating insider-driven data breach risks, thereby bolstering organizational cybersecurity resilience.

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Section: Problemmentioning

confidence: 99%

On Data Leakage Prevention Maturity: Adapting the C2M2 Framework

Domnik,

Holland

2024

JCP

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Data Leakage in Business and FinTech

Chaudhry

Arshad

Abbas

et al. 2022

Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications

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With the advent of the internet and day-by-day advancement in technology, traditional services started to utilize technology to offer better, digitized, cutting-edge services. Financial services called FinTech are one such example of the adoption of cutting-edge technologies. On the other hand, with the adoption of technologies comes to the cybersecurity risks associated with them. Data leakage is one big issue in FinTech and business-related applications and services. The main aim of this chapter is to identify different ways and methods by which data leakage occurs and its adverse effects on organizations providing FinTech services. Furthermore, this chapter explores the various solutions and challenges in their implementation. It is concluded that no single solution can handle data leakage from all perspectives. Multiple solutions need to be combined and utilized to handle all scenarios.

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Data Leakage Prevention Adoption Model & DLP Maturity Level Assessment

Cited by 2 publications

References 2 publications

On Data Leakage Prevention Maturity: Adapting the C2M2 Framework

On Data Leakage Prevention Maturity: Adapting the C2M2 Framework

Data Leakage in Business and FinTech

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