4 books on DLP [PDF]

Updated: February 24, 2024

Books on Data Loss Prevention (DLP) serve as invaluable resources for startups in this field, providing a comprehensive understanding of the intricacies involved in safeguarding sensitive information. These books typically cover topics such as data classification, monitoring and detection mechanisms, policy implementation, and regulatory compliance. For DLP startups, grappling with the complexities of securing data across diverse platforms and networks is a primary challenge. These books offer insights into developing effective DLP strategies, incorporating advanced technologies, and navigating legal and compliance landscapes.

1. Mastering DLP
2023 by Cybellium Ltd



In an age where data security stands as a paramount concern, organizations grapple with the crucial task of shielding sensitive information from leaks and breaches. "Mastering DLP" serves as an authoritative guide, empowering readers with the knowledge and strategies needed to excel in the domain of Data Loss Prevention (DLP) and become adept practitioners capable of safeguarding valuable data assets. Authored by accomplished experts in data security, the book delves into the principles, techniques, and best practices integral to effective DLP. Through a blend of real-world case studies, practical examples, and actionable insights, it equips readers with the tools necessary to navigate the intricacies of DLP successfully. Covering DLP fundamentals, data flow comprehension, policy creation, and enforcement, advanced detection techniques, cloud and endpoint protection, incident response, compliance considerations, and real-world case studies, "Mastering DLP" is an indispensable resource for IT professionals, security analysts, data privacy officers, compliance officers, and anyone tasked with securing sensitive data. Whether new to DLP or seeking expertise enhancement, this book offers invaluable insights into the art of shielding data from leaks, breaches, and unauthorized access. The authors, distinguished experts in data security, draw on their extensive experience to share insights, strategies, and real-world experiences, empowering readers to excel in the realm of Data Loss Prevention.
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2. Causes of Data Breaches and Preventive Measures. Data Loss Prevention
2013 by Vikas Rajole



This 2012 Technical Report, submitted as part of the M.Sc. Information Security program at Royal Holloway, University of London, delves into the evolving threat landscape accompanying technological advancements. The shift from script kiddies engaging in mischief to organized cybercrime aiming for data theft has prompted a critical need to safeguard business data. The report emphasizes the significance of protecting against data breach attacks to preserve brand reputation and customer trust, especially considering the mandatory legal requirements for data protection. Focusing primarily on the 'confidentiality' aspect of the information security's CIA triad, the project explores the varied impacts of data breaches and proposes preventive measures to address these challenges.
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3. A Survey of Data Leakage Detection and Prevention Solutions
2012 by Asaf Shabtai, Yuval Elovici, Lior Rokach



SpringerBriefs offers concise summaries of cutting-edge research and practical applications across various fields, presenting compact volumes ranging from 50 to 100 pages. This series caters to a wide audience, from professionals to academics, providing authors with a platform to present ideas and readers with an efficient means of absorption. "A Survey of Data Leakage Detection and Prevention Solutions" addresses the escalating threat of information/data leakage to companies and organizations, exploring the practical solutions and current research in the Data Loss Prevention (DLP) domain. This comprehensive book, the first of its kind, serves as a valuable reference for researchers, students, and industry practitioners, offering insights into challenges and mitigation techniques in the field of data leakage. The content is structured around a taxonomy that categorizes DLP solutions based on aspects such as leakage source, data state, leakage channel, deployment scheme, preventive/detective approaches, and the action upon leakage. The book further reviews leading DLP market players and clusters academic work based on the nature of leakage and protection, providing a thorough and convenient resource for understanding this fascinating field.
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4. DLP and Extensions: An Optimization Model and Decision Support System
2011 by John L. Nazareth



"DLP and Extensions: An Optimization Model and Decision Support System" introduces the concept of Dynamic-Linear Programming (DLP) as a modeling and optimization approach for computational decision support, specifically addressing resource planning challenges common in the natural resource sciences, operations research, and operational engineering. This innovative methodology seamlessly integrates dynamic programming (DP) and linear programming (LP) techniques, offering an immediate, practical, and readily applicable solution. Beyond its immediate application, DLP represents a versatile and widely applicable modeling and algorithmic concept with various possibilities for extension. The book follows a cohesive narrative through two illustrative examples, providing a comprehensive understanding of the main chapters, while an appendix includes a hands-on demonstration program for practical experience with the DLP approach, executable on a standard PC.
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