東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Autonomous data security = creating ...

Neelakrishnan, Priyanka.

Linked to FindBook

Google Book

Amazon

博客來

Autonomous data security = creating a proactive enterprise protection plan /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Autonomous data security/ by Priyanka Neelakrishnan.
Reminder of title:	creating a proactive enterprise protection plan /
Author:	Neelakrishnan, Priyanka.
Published:	Berkeley, CA :Apress : : 2024.,
Description:	xix, 365 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Computer security. -
Online resource:	https://doi.org/10.1007/979-8-8688-0838-8
ISBN:	9798868808388

Autonomous data security = creating 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

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

540555
Computer security.

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

Dewey Class. No.: 005.8

Autonomous data security = creating a proactive enterprise protection plan /
LDR:03461nmm a2200349 a 4500 001 2375492
003 DE-He213
005 20241007130224.0
006 m d
007 cr nn 008maaau
008 241231s2024 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 3725032
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 540555
650 1 4 $a Data and Information Security. $3 3538510
710 2 $a SpringerLink (Online service) $3 836513
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)