自主数据安全：创建主动的企业保护计划（真）

English | 2024 | ISBN: 9798868808371 | 377 pages | True EPUB PDF | 15.5 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.

这本著作专注于分析构建企业业务自主数据保护解决方案所需的基础要求。它引导读者探索各种选择和工具，并概述了每种选择的优势与劣势。覆盖多种部署环境，包括云、本地以及混合设置；不同规模的部署以及全面渠道覆盖，鼓励读者打破常规方法。 通过探讨需要考虑的因素，本书突显现有数据保障解决方案中存在的显著差距，这些解决方案往往仅依赖配置的安全策略。它提出了一种前瞻性的安全方法，旨在持久有效，并超越传统的政策，敦促读者思考主动自主的数据安全保障方案。此外，它深入探讨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特性。 本书不仅仅是一系列指导方针，而是未来网络安全行业发展的催化剂。其重点放在自主数据安全上以及在日益先进的AI时代的相关性，使其尤为及时且重要。 你将学到什么 理解为何企业业务需要重视数据安全。 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。 建立小、中、大型企业的解决方案时应思考和评价的要求的开始。 理解管理员定义的安全策略配置的优势与劣势，以及为什么它们不能提供全面保护。 通过从部署环境中自主学习来保护数据 - 无论是否有政策都可实现数据安全。 利用AI为数据提供综合主动保护的方法。 在必须保护和保障数据的情况下应考虑的因素。 这本书的目标读者 主要目标受众是网络安全专家、安全爱好者、组织的C级领导层（所有垂直领域）、安全分析师和技术管理员。次要受众包括教授与教师、渠道集成商、专业服务以及黑客。

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