AI Security Certification Study Guide
Edgar Jack Watkins
This audiobook is narrated by a digital voice.
Transform your cybersecurity career with the only comprehensive CAISF certification study guide you need to succeed in 2025.
The artificial intelligence revolution demands security professionals who understand both traditional cybersecurity and AI-specific threats. This complete certification guide provides everything required to master AI security fundamentals and pass your CAISF exam on the first attempt.
What you'll master:
Complete exam preparation includes:
500+ practice questionsPractical implementation resources:
Duration - 15h 53m.
Author - Edgar Jack Watkins.
Narrator - Digital Voice Marcus G.
Published Date - Monday, 27 January 2025.
Copyright - © 2025 Edgar Jack Watkins and Nisha Angelo Wing ©.
Location:
United States
Networks:
Edgar Jack Watkins
Digital Voice Marcus G
Edgar Jack Watkins and Nisha Angelo Wing
English Audiobooks
INAudio Audiobooks
Description:
This audiobook is narrated by a digital voice. Transform your cybersecurity career with the only comprehensive CAISF certification study guide you need to succeed in 2025. The artificial intelligence revolution demands security professionals who understand both traditional cybersecurity and AI-specific threats. This complete certification guide provides everything required to master AI security fundamentals and pass your CAISF exam on the first attempt. What you'll master: Complete exam preparation includes: 500+ practice questionsPractical implementation resources: Duration - 15h 53m. Author - Edgar Jack Watkins. Narrator - Digital Voice Marcus G. Published Date - Monday, 27 January 2025. Copyright - © 2025 Edgar Jack Watkins and Nisha Angelo Wing ©.
Language:
English
AI Security Certification Study Guide
Duration:00:00:18
Disclaimer
Duration:00:02:21
Chapter 1: Introduction to AI Security and CAISF Certification
Duration:00:00:44
The Rise of AI and Security Challenges
Duration:00:06:40
Understanding CAISF Certification
Duration:00:09:38
Your AI Security Career Path
Duration:00:08:28
Study Guide Navigation and Learning Strategies
Duration:00:06:28
Chapter Summary and Quick Quiz
Duration:00:08:08
Chapter 2: AI Technologies Fundamentals
Duration:00:00:33
Artificial Intelligence Basics
Duration:00:08:22
Modern AI Systems and Architectures
Duration:00:08:29
The AI Development Lifecycle
Duration:00:10:06
AI Infrastructure Components
Duration:00:08:59
Chapter Exercises and Review
Duration:00:14:35
Key Learning Points from This Foundation
Duration:00:00:55
Chapter 3:AI Threat Landscape and Attack Taxonomy
Duration:00:00:41
AI Attack Surface Analysis
Duration:00:10:06
MITRE ATLAS Framework Deep Dive
Duration:00:10:41
Adversarial Machine Learning
Duration:00:12:05
Threat Intelligence and Monitoring
Duration:00:03:32
Practical Exercises
Duration:00:03:28
Case Studies
Duration:00:06:53
Moving Forward with Threat Awareness
Duration:00:01:01
Key Learning Points from Threat Analysis
Duration:00:00:58
Chapter 4: Data Security and Privacy in AI Systems
Duration:00:00:35
AI Data Security Fundamentals
Duration:00:09:54
Privacy-Preserving AI Techniques
Duration:00:08:35
GDPR and AI Compliance
Duration:00:08:29
Industry-Specific Privacy Requirements
Duration:00:05:50
Implementation Workshop
Duration:00:13:18
Building Privacy into AI Operations
Duration:00:00:48
Key Learning Points from Privacy Protection
Duration:00:01:01
Chapter 5: AI Model Security and Robustness
Duration:00:00:36
Secure AI Development Practices
Duration:00:10:33
Adversarial Defense Mechanisms
Duration:00:09:03
Model Testing and Validation
Duration:00:07:28
AI Intellectual Property Protection
Duration:00:07:17
Hands-On Security Lab
Duration:00:04:10
Case Study: Google's Approach to LLM Security
Duration:00:03:36
Establishing Model Security Foundations
Duration:00:00:54
Key Lessons from Model Security
Duration:00:00:58
Chapter 6: AI Infrastructure and Deployment Security
Duration:00:00:32
Secure AI Architecture Patterns
Duration:00:08:44
Container and Kubernetes Security
Duration:00:09:18
API Security for AI Services
Duration:00:07:59
Edge AI Security
Duration:00:07:38
Cloud Provider Security Features
Duration:00:07:19
Practical Exercises
Duration:00:04:08
Case Study: Netflix's Secure AI Infrastructure
Duration:00:03:53
Looking Ahead to Advanced Security
Duration:00:00:56
Key Insights from Infrastructure Security
Duration:00:01:01
Chapter 7: AI Governance and Risk Management Frameworks
Duration:00:00:36
NIST AI Risk Management Framework
Duration:00:10:11
Organizational AI Governance
Duration:00:09:26
AI Risk Assessment Methodologies
Duration:00:08:51
AI Ethics and Responsible AI
Duration:00:08:54
Governance Implementation Guide
Duration:00:15:59
Case Study: Microsoft's Responsible AI Framework
Duration:00:03:36
The Path Forward
Duration:00:01:08
Foundational Elements for AI Governance Success
Duration:00:01:05
Chapter 8: Regulatory Compliance and Standards
Duration:00:00:35
Global AI Regulations Overview
Duration:00:09:54
ISO/IEC 42001 Implementation
Duration:00:09:31
Healthcare AI Compliance (FDA)
Duration:00:08:51
Financial Services AI Compliance
Duration:00:07:51
Compliance Toolkit
Duration:00:28:01
Chapter 9: AI Security Operations and Monitoring
Duration:00:01:12
AI Security Operations Center Design and Architecture
Duration:00:05:51
Continuous Monitoring Strategies for AI Systems
Duration:00:06:33
Threat Detection Techniques for AI Systems
Duration:00:07:26
AI-Specific Logging and Digital Forensics
Duration:00:07:22
Operational Excellence in AI Security
Duration:00:08:05
Chapter 10: AI Incident Response and Recovery
Duration:00:01:48
AI Incident Response Framework Architecture
Duration:00:07:38
Incident Handling Procedures for AI Systems
Duration:00:08:22
AI-Specific Incident Response Scenarios
Duration:00:07:28
Business Continuity and Recovery for AI Systems
Duration:00:07:43
Building Organizational Resilience
Duration:00:07:37
Chapter 11: Emerging Threats and Future Trends
Duration:00:01:41
Generative AI Security Evolution
Duration:00:07:49
Quantum Computing and AI Security Transformation
Duration:00:09:19
Autonomous Systems Security Challenges
Duration:00:08:14
Nation-State AI Threat Capabilities
Duration:00:08:18
Research Frontiers and Future Capabilities
Duration:00:08:16
Chapter 12: CAISF Exam Mastery and Career Development
Duration:00:01:35
Exam Strategy and Test-Taking Excellence
Duration:00:06:42
Domain-Specific Knowledge Mastery
Duration:00:08:55
Comprehensive Practice and Performance Analysis
Duration:00:06:37
Career Advancement and Professional Development
Duration:00:10:00
Chapter 13: Practice Questions by Domain 1
Duration:00:20:59
Domain 2: AI Technologies Fundamentals (40 Questions - 20%)
Duration:00:19:00
Domain 3: Risks and Threats (40 Questions - 20%)
Duration:00:19:01
Domain 4: Security Measures (50 Questions - 25%)
Duration:00:25:01
Domain 5: Compliance and Ethics (30 Questions - 15%)
Duration:00:16:22
Answer Key Summary by Domain
Duration:00:02:10
Study Recommendations Based on Question Analysis
Duration:00:02:28
Chapter 14: Practice Questions by Domain 2
Duration:00:33:09
Domain 2: AI Technologies Fundamentals (60 Questions - 20%)
Duration:00:31:44
Domain 3: Risks and Threats (60 Questions - 20%)
Duration:00:33:34
Domain 4: Security Measures (75 Questions - 25%)
Duration:00:41:21
Domain 5: Compliance and Ethics (45 Questions - 15%)
Duration:00:25:17
Summary and Answer Distribution Analysis
Duration:00:02:13
Appendix A: Quick Reference Guides
Duration:00:01:01
CAISF Exam Domain Summary and Weight Distribution
Duration:00:09:16
Key Framework Comparison and Application Guide
Duration:00:04:38
Security Control Mapping and Implementation Matrix
Duration:00:04:10
Regulatory Compliance Reference Matrix
Duration:00:04:19
Incident Response Quick Reference Checklist
Duration:00:05:25
Appendix B: Hands-On Lab Manual
Duration:00:00:56
Lab Environment Setup and Prerequisites
Duration:00:02:46
Lab Exercise 1: Setting Up Model Monitoring and Drift Detection
Duration:00:03:07
Lab Exercise 2: Implementing Adversarial Attack Detection
Duration:00:03:05
Lab Exercise 3: Implementing Data Pipeline Security Controls
Duration:00:02:40
Lab Exercise 4: Model Extraction Attack and Defense
Duration:00:02:51
Lab Exercise 5: Implementing Federated Learning Security
Duration:00:02:58
Lab Exercise 6: AI System Penetration Testing
Duration:00:02:50
Lab Exercise 7: Incident Response Simulation for AI Systems
Duration:00:02:55
Lab Exercise 8: Regulatory Compliance Assessment for AI Systems
Duration:00:02:44
Lab Exercise 9: Advanced Threat Hunting for AI Systems
Duration:00:02:53
Lab Exercise 10: Building an AI Security Operations Center
Duration:00:03:56
Appendix C: Enterprise Implementation Templates
Duration:00:01:00
AI Governance Charter Template
Duration:00:04:13
Risk Assessment Worksheets
Duration:00:04:34
Incident Response Plan Template
Duration:00:04:31
Compliance Audit Checklist
Duration:00:03:43
Executive Presentation Templates
Duration:00:03:53
Appendix D: Tools and Resources Directory
Duration:00:01:00
Open-Source Security Tools for AI Systems
Duration:00:04:58
Commercial Solutions Comparison and Selection
Duration:00:04:19
Online Learning Resources and Professional Development
Duration:00:03:12
Professional Communities and Networking
Duration:00:02:43
Certification Maintenance and Continuing Education
Duration:00:07:54