國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Autonomous data securitycreating a p...

Neelakrishnan, Priyanka.

Autonomous data securitycreating a proactive enterprise protection plan /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Autonomous data securityby Priyanka Neelakrishnan.
其他題名:	creating a proactive enterprise protection plan /
作者:	Neelakrishnan, Priyanka.
出版者:	Berkeley, CA :Apress :2024.
面頁冊數:	xix, 365 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computer security.
電子資源:	https://doi.org/10.1007/979-8-8688-0838-8
ISBN:	9798868808388$q(electronic bk.)

Autonomous data securitycreating a proactive enterprise protection plan /
Neelakrishnan, Priyanka.

Autonomous data securitycreating a proactive enterprise protection plan /[electronic resource] :by Priyanka Neelakrishnan. - Berkeley, CA :Apress :2024. - xix, 365 p. :ill., digital ;24 cm.

Chapter 1: Introduction, Data Security, and Fundamental Requirements -- Chapter 2: Tradition Data Security -- Chapter 3: Thinking Outside Norms -- Chapter 4: Policy-Less Data Security -- Chapter 5: AI Driven Data Security -- Chapter 6: Conclusion and Design For the Future -- Chapter 7: Future Ready Data Security.

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.

ISBN: 9798868808388$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-0838-8doiSubjects--Topical Terms:

184416
Computer security.

LC Class. No.: QA76.9.A25 / N44 2024

Dewey Class. No.: 005.8

Autonomous data securitycreating a proactive enterprise protection plan /
LDR:03462nmm a2200349 a 4500 001 669782
003 DE-He213
005 20241007130224.0
006 m d
007 cr nn 008maaau
008 250120s2024 cau s 0 eng d
020 $a 9798868808388$q(electronic bk.)
020 $a 9798868808371$q(paper)
024 7 $a 10.1007/979-8-8688-0838-8 $2 doi
035 $a 979-8-8688-0838-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A25 $b N44 2024
072 7 $a UR $2 bicssc
072 7 $a UTN $2 bicssc
072 7 $a COM053000 $2 bisacsh
072 7 $a UR $2 thema
072 7 $a UTN $2 thema
082 0 4 $a 005.8 $2 23
090 $a QA76.9.A25 $b N378 2024
100 1 $a Neelakrishnan, Priyanka. $3 982815
245 1 0 $a Autonomous data security $h [electronic resource] : $b creating a proactive enterprise protection plan / $c by Priyanka Neelakrishnan.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2024.
300 $a xix, 365 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Introduction, Data Security, and Fundamental Requirements -- Chapter 2: Tradition Data Security -- Chapter 3: Thinking Outside Norms -- Chapter 4: Policy-Less Data Security -- Chapter 5: AI Driven Data Security -- Chapter 6: Conclusion and Design For the Future -- Chapter 7: Future Ready Data Security.
520 $a 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.
650 0 $a Computer security. $3 184416
650 1 4 $a Data and Information Security. $3 913130
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-0838-8
950 $a Professional and Applied Computing (SpringerNature-12059)