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:
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.