Autonomous Data Security
Creating a Proactive Enterprise Protection Plan
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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 ga...
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 factorsto 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.
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 factorsto 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.
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