Description
Book SynopsisOmar Santos is a cybersecurity thought leader with a passion for driving industry-wide initiatives to enhance the security of critical infrastructures. Omar is the lead of the DEF CON Red Team Village, chair of the Common Security Advisory Framework (CSAF) technical committee, and board member of the OASIS Open standards organization. Omar's collaborative efforts extend to numerous organizations, including the Forum of Incident Response and Security Teams (FIRST) and the Industry Consortium for Advancement of Security on the Internet (ICASI). Omar is a renowned expert in ethical hacking, vulnerability research, and incident response. He employs his deep understanding of these disciplines to help organizations stay ahead of emerging threats. His dedication to cybersecurity has made a significant impact on businesses, academic institutions, law enforcement agencies, and other entities striving to bolster their security measures. With over twenty books, video courses,
Trade Review
“As AI promises to revolutionize many aspects of work and society, there is a critical need for IT professionals to understand how AI can help them in practice. This book provides a highly accessible overview of how new and emerging AI capabilities can improve many key areas of IT. The authors were early industry pioneers in applying AI to improve networking, cybersecurity, and the design & operation of AI-based systems for large enterprises -- and their real-world AI experience is clearly shown throughout the book.”
--John Apostolopoulos, Area Tech Lead Communication & Collaboration, Google, formerly VP/CTO Enterprise Networking Business, Cisco
Table of ContentsPreface xix
Chapter 1. Introducing the Age of AI: Emergence, Growth, and Impact on Technology 1
The End of Human Civilization 2
Significant Milestones in AI Development (This Book Is Already Obsolete) 2
The AI Black Box Problem and Explainable AI 5
What's the Difference Between Large Language Models and Traditional Machine Learning? 6
Hugging Face Hub: A Game-Changer in Collaborative Machine Learning 12
AI's Expansion Across Industries: Networking, Cloud Computing, Security, Collaboration, and IoT 14
AI's Impacts on the Job Market 15
AI's Impacts on Security, Ethics, and Privacy 17
Summary 30
References 31
Chapter 2. Connected Intelligence: AI in Computer Networking 33
The Role of AI in Computer Networking 34
AI for Network Management 37
AI for Network Optimization 45
AI for Network Security 49
AI for Traffic Classification and Prediction 52
AI in Network Digital Twins 54
Summary 55
References 56
Chapter 3. Securing the Digital Frontier: AI's Role in Cybersecurity 59
AI in Incident Response: Analyzing Potential Indicators to Determine the Type of Attack 59
AI in Vulnerability Management and Vulnerability Prioritization 71
AI in Security Governance, Policies, Processes, and Procedures 73
Using AI to Create Secure Network Designs 74
AI and Security Implications of IoT, OT, Embedded, and Specialized Systems 75
AI and Physical Security 76
AI in Security Assessments, Red Teaming, and Penetration Testing 77
AI in Identity and Account Management 80
Using AI for Fraud Detection and Prevention 86
AI and Cryptography 87
AI in Secure Application Development, Deployment, and Automation 90
Summary 93
References 94
Chapter 4. AI and Collaboration Building Bridges, Not Walls 95
Collaboration Tools and the Future of Work 96
AI for Collaboration 101
The Contact Center: A Bridge to Customers 109
AR/VR: A Closer Look 113
Affective Computing 116
Summary 116
References 117
Chapter 5. AI in the Internet of Things (AIoT) 119
Understanding the IoT Landscape 120
AI for Data Analytics and Decision Making 122
AI for IoT Resource Optimization 125
AI for IoT in Supply Chain 127
AI for IoT Security 130
AI for IoT in Sustainability 133
Summary 137
References 137
Chapter 6. Revolutionizing Cloud Computing with AI 139
Understanding the Cloud Computing Environment 139
AI in Cloud Infrastructure Management 145
AI for Cloud Security 147
AI for Cloud Optimization 151
AI and Machine Learning as a Service 153
Challenges of AI and Machine Learning in the Cloud 158
What Lies Ahead 158
References 159
Chapter 7. Impact of AI in Other Emerging Technologies 161
Executive Order on the Development and Use of Artificial Intelligence 162
AI in Quantum Computing 163
How AI Can Revolutionize Quantum Hardware Optimization 167
Data Analysis and Interpretation 168
AI in Blockchain Technologies 169
AI in Autonomous Vehicles and Drones 175
AI in Edge Computing 175
Summary 183
References 184
Index 185
