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AI+ Security Compliance™ Self-Paced Learning
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Introduction
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Audio Book: Introduction AI+ Security Compliance
Module 1: Introduction to Cybersecurity Compliance and AI
1.0 Introduction: Introduction to Cybersecurity Compliance and AI
1.1 The Necessity of Cybersecurity Compliance in Today’s World
1.2 Implementing Cybersecurity Compliance in Today’s World
1.3 Effects on Cybersecurity Implications
1.4 Explanation of Major Compliance Frameworks
1.5 International Organization for Standardization (ISO)
1.6 Key Components of an Effective Compliance Program
1.7 Compliance Policies and Procedures
1.8 Roles and Responsibilities
1.9 Documentation and Record-Keeping
1.10 Compliance Audits and Assessments
1.11 Basics of AI and Types of ML
1.12 Benefits of Integrating AI
1.13 Challenges and Limitations
1.14 Real-World Examples
1.15 Summary: Introduction to Cybersecurity Compliance and AI
Module 1: Introduction to Cybersecurity Compliance and AI
Audio Book: Introduction to Cybersecurity Compliance and AI
Hands - On 1
Hands - On 2
Quiz
Module 2: Security and Risk Management with AI
2.0 Introduction: Security and Risk Management with AI
2.1 Identifying and Assessing Risks
2.2 NIST Risk Management Framework (RMF)
2.3 ISO 31000 Risk Management
2.4 Identifying and Evaluating Risks
2.5 Impact and Probability Assessment
2.6 Mitigation Strategies
2.7 Automated Risk Identification
2.8 Legal and Regulatory Considerations in AI for Cybersecurity: Part 1
2.9 Legal and Regulatory Considerations in AI for Cybersecurity: Part 2
2.10 Ethical Implications of AI in Cybersecurity
2.11 Automated Incident Detection and Response
2.12 Ethical Implications of AI in Cybersecurity
2.13 Summary: Security and Risk Management with AI
Module 2: Security and Risk Management with AI
Audio Book: Security and Risk Management with AI
Hands - On 1
Hands - On 2
Quiz
Module 3: Asset Security and AI for Compliance
3.0 Introduction: Asset Security and AI for Compliance
3.1 Data Classification Techniques
3.2 Data Encryption and Protection
3.3 Privacy-Preserving Technologies
3.4 Automated Asset Discovery
3.5 Purpose, Importance, and Components of Asset Management
3.6 AI-Driven Asset Monitoring: Part 1
3.7 AI-Driven Asset Monitoring: Part 2
3.8 Summary: Asset Security and AI for Compliance
Module 3: Asset Security and AI for Compliance
Audio Book: Asset Security and AI for Compliance
Hands - On 1
Hands - On 2
Quiz
Module 4: Security Architecture and Engineering with AI
4.0 Introduction: Security Architecture and Engineering with AI
4.1 Secure System Design
4.2 Advantages and Implications
4.3 Cryptographic Techniques
4.4 Automated Vulnerability Scanning: Part 1
4.5 Automated Vulnerability Scanning: Part 2
4.6 Access Control Models
4.7 Logging and Monitoring Security Events
4.8 Trust Models with AI Integration: Part 1
4.9 Trust Models with AI Integration: Part 2
4.10 Adaptive Penetration Testing and Ethical AI Usage
4.11 Summary: Security Architecture and Engineering with AI
Module 4: Security Architecture and Engineering with AI
Audio Book: Security Architecture and Engineering with AI
Hands - On 1
Hands - On 2
Quiz
Module 5: Communication and Network Security with AI
5.0 Introduction: Communication and Network Security with AI
5.1 Network Threat and Vulnerabilities
5.2 AI in Intrusion Detection Systems (IDS)
5.3 AI in Firewalls and Intrusion Prevention Systems (IPS)
5.4 Ensuring Network Security Compliance
5.5 Summary: Communication and Network Security with AI
Module 5: Communication and Network Security with AI
Audio Book: Communication and Network Security with AI
Hands - On 1
Quiz
Hands - On 2
Module 6: Identity and Access Management (IAM) with AI
6.0 Introduction: Identity and Access Management (IAM) with AI
6.1 Authentication and Authorization
6.2 Biometric Authentication Using AI
6.3 Discretionary Access Control (DAC)
6.4 Mandatory Access Control (MAC)
6.5 Role-Based Access Control (RBAC)
6.6 Dynamic Access Control Models
6.7 Identity Theft and AI Defenses
6.8 Summary: Identity and Access Management (IAM) with AI
Module 6: Identity and Access Management (IAM) with AI
Audio Book: Identity and Access Management (IAM) with AI
Hands - On 1
Hands - On 2
Quiz
Module 7: Security Assessment and Incident Response with AI
7.0 Introduction: Security Assessment and Incident Response with AI
7.1 Penetration Testing
7.2 Automated Testing Tools
7.3 Real-Time Security Monitoring
7.4 Incident Response Lifecycle
7.5 Creating an Incident Response Plan
7.6 Detection and Analysis
7.7 Containment, Eradication, and Recovery
7.8 Post-Incident Activities
7.9 Reporting Requirements
7.10 Automated Compliance Checks
7.11 Summary: Security Assessment and Incident Response with AI
Module 7: Security Assessment and Incident Response with AI
Audio Book: Security Assessment and Incident Response with AI
Hands - On 1
Hands - On 2
Quiz
Module 8 : Security Operations
8.0 Introduction:Security Operations
8.1 SOC Roles and Responsibilities
8.2 AI in SOC Operations
8.3 Data Sensitivity and Classification
8.4 Encryption and Data Masking
8.5 Secure Data Disposal
8.6 Privacy Impact Assessments (PIAs)
8.7 Privacy by Design and Default
8.8 Purpose, Importance, and Components
8.9 AI in Disaster Recovery Planning
8.10 Security Automation
8.11 Summary: Security Operations
Module 8: Security Operations with AI
Audio Book: Security Operations
Hands - On 1
Hands - On 2
Quiz
Module 9 : Software Development Security and Audit with AI
9.0 Introduction: Software Development Security and Audit with AI
9.1 Secure Coding Practices
9.2 Automated Application Scanning
9.3 Integrating AI in CI/CD Pipelines
9.4 Identifying Software Threats
9.5 Mitigating Risks with AI
9.6 Preparing for Audits
9.7 Conducting Audits
9.8 Audit Reporting and Follow-Up
9.9 Security Information and Event Management (SIEM)
9.10 Continuous Diagnostics and Mitigation (CDM)
9.11 Summary: Software Development Security and Audit with AI
Module 9: Software Development Security and Audit with AI
Audio Book: Software Development Security and Audit with AI
Hands - On 1
Hands - On 2
Quiz
Module 10: Future Trends in AI and Cybersecurity Compliance
10.0 Introduction: Future Trends in AI and Cybersecurity Compliance
10.1 Data Management Policy
10.2 Password Policy
10.3 User Management Policy
10.4 Privacy Policy
10.5 Importance of Training
10.6 Concepts and Implications of Social Engineering Attacks
10.7 Potential Impact on Cybersecurity Compliance
10.8 Ethical AI in Cybersecurity Compliance
10.9 Developing AI Governance Frameworks
10.10 Practical Simulations with AI Tools
10.11 Real-World Scenarios and Problem Solving
10.12 Summary: Future Trends in AI and Cybersecurity Compliance
Module 10: Future Trends in AI and Cybersecurity Compliance
Audio Book: Future Trends in AI and Cybersecurity Compliance
Quiz
Hands - On
Additional Module - AI Agents For Security Compliance
AI Agents Security Compliance
Resources
AI+ Security Compliance Blueprint
AI+ Security Compliance Detailed Curriculum
AI+ Security Compliance Tools
AI+ Security Resources and References
AI CERTs Exam Guidelines
AI CERTs Exam Guidelines
AI+ Security Compliance Examination
AI+ Security Compliance Examination
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AI+ Security Compliance™ Self-Paced Learning
