Leading AI Transformation

Strategy, Governance, and Security Considerations

Häftad, Engelska, 2026

349 kr

Kommande

Beskrivning

Principal Microsoft cybersecurity leader Yuri Diogenes delivers a practical playbook for leading enterprise AI transformation with strategy, governance, and secure Microsoft AI adoption!

Lead with confidence through the full lifecycle of enterprise AI adoption with Leading AI Transformation: Strategy, Governance, and Security Considerations by Yuri Diogenes. Written for business and technology leaders who need to move beyond isolated pilots, this practical guide shows how to defi ne an AI vision aligned to business outcomes, establish responsible AI governance, and scale solutions securely using Microsoft technologies such as Microsoft 365 Copilot, Microsoft Foundry, Azure OpenAI in Foundry Models, and others. Grounded in real enterprise scenarios and decision frameworks, the book helps executives, architects, and security leaders speak the same language—so organizations can accelerate AI transformation while managing risk, compliance, and end-to-end security.

By reading this book, you will:

Identify where generative AI can deliver measurable business value (and where it can’t)
Build an implementation and adoption strategy that accounts for people, process, and operating model readiness
Establish responsible AI governance principles and an AI council for oversight and alignment
Design identity-first security for AI using Zero Trust concepts and Microsoft Entra controls
Protect and govern data used by AI solutions with Microsoft Purview, including discovery, classification, and DLP
Create a repeatable path from experimentation to production, without sacrificing trust, compliance, or security
Prepare for Exam AB-731: AI Transformation Leader with objective-aligned guidance and review support

About This Book

For executives, directors, transformation leaders, and consultants who want to move beyond AI pilots and deliver measurable business value with a clear strategy, governance model, and secure execution approach
For security, risk, compliance, and data governance leaders, and business stakeholders, who need to scale Microsoft AI solutions while protecting identity, data, cloud workloads and meeting responsible AI expectations

Produktinformation

Utgivningsdatum:2026-12-21
Mått:187 x 231 x 7 mm
Vikt:227 g
Format:Häftad
Språk:Engelska
Antal sidor:128
Upplaga:1
Förlag:Pearson Education
ISBN:9780135941355

Utforska kategorier

It-certifieringar inom Data och IT
Artificiell intelligens inom Data och IT

Mer om författaren

Yuri Diogenes has a PhD in cybersecurity leadership and a Master of Science in cybersecurity intelligence and forensics investigation. Yuri has been working at Microsoft since 2006, and currently, he is a principal PM manager at Microsoft CxE, where he manages the Defender for Cloud and Azure Network Security Teams. Yuri is also a Professor at the University of Texas at Dallas and EC-Council University. Yuri has published more than 30 books, mostly about information security and Microsoft technologies. Yuri also holds an MBA and many IT/Security industry certifications, such as CISSP, E|CND, E|CEH, E|CSA, E|CHFI, E|CTI, CompTIA Security+, CySA+, CASP, and MITRE ATT&CK Cyber Threat Intelligence. You can follow Yuri on X at @yuridiogenes and watch his Defender for Cloud in the Field show at aka.ms/MDCInTheField.

Innehållsförteckning

CHAPTER 1 Identify the business value of generative AI solutionsCHAPTER 2 Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and servicesCHAPTER 3 Identify an implementation and adoption strategy for Microsoft’s AI apps and servicesCHAPTER 4 Design identity, data, and cloud security for AI solutionsAPPENDIX A Preparing for AI Transformation Leader Exam (AB-731)