相關主題
商品描述
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.
- Learn how data protection solutions work and how to evaluate solutions in the market.
- Discover how to start thinking and evaluating requirements when building solutions for small, medium, and large enterprises given data protection is your utmost priority.
- Understand the pros and cons of security policy configurations defined by administrators and why they can't provide comprehensive protection.
- Learn how to safeguard data via adaptive learning from the deployed environment - providing autonomous data security with minimal policies.
- Discover how to build self-learning adaptable intelligent systems to provide data security with comprehensive proactive protection.
商品描述(中文翻譯)
本書專注於分析構建企業自動化數據保護解決方案所需的基本要求。它引導讀者了解各種選擇和工具，概述每種選擇的優缺點。涵蓋雲端、本地和混合部署環境，以及不同的部署規模和全面的渠道覆蓋，鼓勵讀者在其方法上突破傳統規範。
通過探討應考慮的因素，本書突顯了現有數據保護解決方案中的重大缺口，這些方案往往僅依賴於配置的安全政策。它提出了一種前瞻性的安全方法，旨在隨著時間的推移而持久，超越傳統政策，並促使讀者考慮主動的自動化數據安全解決方案。此外，它深入探討系統適應部署環境的能力，從反饋中學習，並在遵循安全政策的同時，自動保護數據。
這本書不僅僅是一套指導方針，而是成為網絡安全行業未來的催化劑。它對自動化數據安全的關注以及在不斷進步的人工智慧時代中的相關性，使其特別及時且必不可少。
您將學到的內容：
- 理解為什麼數據安全對企業至關重要。
- 了解數據保護解決方案的運作方式以及如何評估市場上的解決方案。
- 探索在構建針對小型、中型和大型企業的解決方案時，如何開始思考和評估需求，因為數據保護是您的首要任務。
- 理解由管理員定義的安全政策配置的優缺點，以及為什麼它們無法提供全面的保護。
- 學習如何通過從部署環境中自適應學習來保護數據，提供最小政策的自動化數據安全。
- 探索如何構建自學習的可適應智能系統，以提供全面的主動保護數據安全。
作者簡介
Priyanka Neelakrishnan is a distinguished data security expert with over a decade of experience in building world-class data protection solutions. Her illustrious career includes pivotal roles at renowned cybersecurity firms such as Palo Alto Networks and Symantec, where she has consistently driven innovation and excellence.
As the Product Line Manager at Palo Alto Networks, Priyanka has been instrumental in conceptualizing, designing, and launching transformative cybersecurity products. Her efforts have led to the widespread adoption of advanced information protection solutions, significantly enhancing enterprise security. During her tenure at Symantec (now Broadcom), Priyanka spearheaded initiatives in on-prem, cloud, and hybrid data protection, notably developing the industry's first cloud data protection solution tailored for large enterprise customers. This groundbreaking solution encompassed all major cloud channels, including Email, Web, and Applications, and featured patented content detection technologies.
Recognized as a go-to authority in the field of data protection, Priyanka is highly regarded for her mentoring capabilities and expertise across a wide range of data security topics. She is also a renowned speaker and independent researcher, contributing extensively to the advancement of the cybersecurity field. Her innovative products and strategic insights have earned her leadership and excellence awards, underscoring her significant contributions to the cybersecurity landscape.
作者簡介(中文翻譯)
Priyanka Neelakrishnan 是一位卓越的數據安全專家，擁有超過十年的經驗，專注於建立世界級的數據保護解決方案。她的輝煌職業生涯包括在知名的網路安全公司如 Palo Alto Networks 和 Symantec 擔任關鍵角色，並持續推動創新與卓越。
作為 Palo Alto Networks 的產品線經理，Priyanka 在概念化、設計和推出變革性的網路安全產品方面發揮了重要作用。她的努力促進了先進信息保護解決方案的廣泛採用，顯著提升了企業安全。在 Symantec（現為 Broadcom）任職期間，Priyanka 主導了本地、雲端和混合數據保護的各項倡議，特別是開發了業界首個針對大型企業客戶的雲端數據保護解決方案。這一開創性解決方案涵蓋了所有主要的雲端渠道，包括電子郵件、網頁和應用程式，並具備專利的內容檢測技術。
Priyanka 被認可為數據保護領域的權威，因其出色的指導能力和在各種數據安全主題上的專業知識而受到高度評價。她也是一位知名的演講者和獨立研究員，對網路安全領域的發展做出了廣泛貢獻。她的創新產品和戰略見解為她贏得了領導力和卓越獎項，突顯了她對網路安全領域的重要貢獻。
