自主数据安全：创建积极主动的企业保护计划

English | 2024 | ISBN: 9798868808371 | 366 pages | PDF | 10.28 MB

This book focuses on analyzing the foundational requirements necessary to construct an autonomous data protection solution for enterprise businesses. It navigates readers through various options and tools, outlining the advantages and disadvantages of each. Covering diverse deployment environments including cloud, on-premises, and hybrid setups, as well as different deployment scales and comprehensive channel coverages, it encourages readers to break away from conventional norms in their approach.

By exploring the factors that should be taken into account, the book highlights the significant gap in existing data safeguarding solutions, which often rely solely on configured security policies. It proposes a forward-thinking security approach designed to endure over time, surpassing traditional policies and urging readers to consider proactive autonomous data security solutions. Additionally, it delves into the system's ability to adapt to deployed environments, learn from feedback, and autonomously safeguard data while adhering to security policies.

More than just a set of guidelines, this book serves as a catalyst for the future of the cybersecurity industry. Its focus on autonomous data security and its relevance in the era of advancing AI make it particularly timely and essential.

What You Will learn Understand why data security is important for enterprise businesses. How data protection solutions work and how to evaluate a solution in the market. How to start thinking and evaluating requirements when building a solution for small, medium, and large enterprises. Understand the pros and cons of security policy configurations defined by administrators and why can't they provide comprehensive protection. How to safeguard data via adaptive learning from the deployed environment - providing autonomous data security with or without policies. How to leverage AI to provide data security with comprehensive proactive protection. What factors to consider when they have to protect and safeguard data.

Who this book is for The primary audience is cybersecurity professionals, security enthusiasts, C-level executives in organizations (all verticals), and security analysts and IT administrators. Secondary audience includes professors and teachers, channel integrators, professional services, and hackers.

这本书专注于分析构建企业业务的自主数据保护解决方案所需的 foundational 要求。它带领读者探索各种选项和工具，概述了每种工具的优势与劣势。涵盖了包括云、本地部署以及混合部署环境在内的多种部署环境，不同规模的部署以及广泛的渠道覆盖范围，鼓励读者打破常规。 通过探讨应考虑的因素，这本书强调现有数据保护解决方案中显著存在的差距，这些方案通常仅仅依靠预设的安全策略。它提出了一种具有前瞻性设计的安全方法，能够在长期内持续发展，并超越传统的安全政策，促使其读者考虑主动的数据安全解决方案。此外，它还深入探讨了系统适应部署环境的能力、从反馈中学习并自主保护数据的同时遵守安全策略的可行性。 这本书不仅仅是一套指南，而是网络安全行业的未来催化剂。关注自主数据安全及其在人工智能快速发展的时代的重要性，使它显得格外及时且至关重要。 你将学到的内容 理解为什么企业需要重视数据安全。 了解数据保护解决方案的工作原理及如何评估市场上的解决方案。 在为小、中、大企业构建解决方案时开始思考和评估需求的方法。 理解由管理员定义的安全策略配置的优缺点，以及它们无法提供全面防护的原因。 通过从部署环境学习来实现自主的数据保护——无论是否有安全策略都可做到这一点。 利用人工智能来提供全面的主动数据安全保障。 在需要保护和维护数据时应考虑的因素。 这本书的目标读者 主要目标读者是网络安全专业人士、安全爱好者、组织中的C级领导（所有行业）、安全分析师和IT管理员。次目标读者包括教授和教师、渠道整合者、专业服务提供商以及黑客。

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