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

Identity analyticsanalytics for iden...

Bhoyar, Nilesh.

Identity analyticsanalytics for identity and access management /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Identity analyticsby Nilesh Bhoyar.
其他題名:	analytics for identity and access management /
作者:	Bhoyar, Nilesh.
出版者:	Berkeley, CA :Apress :2025.
面頁冊數:	xviii, 235 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	ComputersAccess control.
電子資源:	https://doi.org/10.1007/979-8-8688-1745-8
ISBN:	9798868817458$q(electronic bk.)

Identity analyticsanalytics for identity and access management /
Bhoyar, Nilesh.

Identity analyticsanalytics for identity and access management /[electronic resource] :by Nilesh Bhoyar. - Berkeley, CA :Apress :2025. - xviii, 235 p. :ill., digital ;24 cm.

Chapter 1: Introduction to Identity and Access Management -- Chapter 2: Fundamentals of Identity Analytics. Chapter 3: Data Preparation -- Chapter 4: Risk Aware Metrics -- Chapter 5: Risk Based Access Management -- Chapter 6: Identity Threat Detection and Response Chapter 7: Analytics for Cloud Access Management Chapter 8:Analytics For Regulatory Reporting Chapter 9: Machine Learning Techniques in Identity Analytics Chapter 10: GenAI for IAM Chapter 11:Analytics For Zero Trust.

Misconfigured identities are the leading cause of cyber incidents. Organizations are investing significant resources to address these vulnerabilities, but these investments often prioritize meeting compliance requirements set by regulators. However, the controls and monitoring systems implemented are not designed for real-time threat detection and risk mitigation. Consequently, organizations often resort to purchasing multiple expensive vendor products, which then require extensive reconfiguration due to the varied identity landscapes of each organization. In this book, we explore how individuals can construct their own identity analytics solution from scratch. We provide starter code to facilitate understanding, catering to beginners. This knowledge can also serve as guidance for those considering vendor products. The book commences with general principles and progresses to cover specific use cases, accompanied by sample code for each. Much of the available material originates from vendors, which tends to focus more on marketing rather than addressing systemic issues. Alternatively, materials may solely concentrate on Identity and Access Management (IAM) processes and governance without delving deeply into the topics discussed here. What You Will Learn: The relationship between IAM and Identity Analytics. Statistical methods, data curation processes, and risk scoring that contribute to effective IAM strategies. How to utilize advanced ML/AI techniques for implementing impactful IAM programs, including various use cases that demonstrate their effectiveness.

ISBN: 9798868817458$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-1745-8doiSubjects--Topical Terms:

219159
Computers
--Access control.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Identity analyticsanalytics for identity and access management /
LDR:03124nmm a2200349 a 4500 001 692024
003 DE-He213
005 20260102122604.0
006 m d
007 cr nn 008maaau
008 260527s2025 cau s 0 eng d
020 $a 9798868817458$q(electronic bk.)
020 $a 9798868817441$q(paper)
024 7 $a 10.1007/979-8-8688-1745-8 $2 doi
035 $a 979-8-8688-1745-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A25
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 B575 2025
100 1 $a Bhoyar, Nilesh. $3 1008638
245 1 0 $a Identity analytics $h [electronic resource] : $b analytics for identity and access management / $c by Nilesh Bhoyar.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2025.
300 $a xviii, 235 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Introduction to Identity and Access Management -- Chapter 2: Fundamentals of Identity Analytics. Chapter 3: Data Preparation -- Chapter 4: Risk Aware Metrics -- Chapter 5: Risk Based Access Management -- Chapter 6: Identity Threat Detection and Response Chapter 7: Analytics for Cloud Access Management Chapter 8:Analytics For Regulatory Reporting Chapter 9: Machine Learning Techniques in Identity Analytics Chapter 10: GenAI for IAM Chapter 11:Analytics For Zero Trust.
520 $a Misconfigured identities are the leading cause of cyber incidents. Organizations are investing significant resources to address these vulnerabilities, but these investments often prioritize meeting compliance requirements set by regulators. However, the controls and monitoring systems implemented are not designed for real-time threat detection and risk mitigation. Consequently, organizations often resort to purchasing multiple expensive vendor products, which then require extensive reconfiguration due to the varied identity landscapes of each organization. In this book, we explore how individuals can construct their own identity analytics solution from scratch. We provide starter code to facilitate understanding, catering to beginners. This knowledge can also serve as guidance for those considering vendor products. The book commences with general principles and progresses to cover specific use cases, accompanied by sample code for each. Much of the available material originates from vendors, which tends to focus more on marketing rather than addressing systemic issues. Alternatively, materials may solely concentrate on Identity and Access Management (IAM) processes and governance without delving deeply into the topics discussed here. What You Will Learn: The relationship between IAM and Identity Analytics. Statistical methods, data curation processes, and risk scoring that contribute to effective IAM strategies. How to utilize advanced ML/AI techniques for implementing impactful IAM programs, including various use cases that demonstrate their effectiveness.
650 0 $a Computers $x Access control. $3 219159
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/10.1007/979-8-8688-1745-8
950 $a Professional and Applied Computing (SpringerNature-12059)