The AI+ Security Compliance™ is an advanced course that merges the fundamental principles of cybersecurity compliance with the transformative power of artificial intelligence (AI). Building on the CISSP framework, this course focuses on how AI can enhance compliance processes, improve risk management, and ensure robust security measures in alignment with regulatory standards. This course introduces you to the core principles of cyber security compliances, while exploring the potential of AI to enhance your security posture. This course structure integrates comprehensive cybersecurity compliance principles with advanced AI applications, providing learners with the necessary skills to ensure compliance and enhance
security through AI technologies.

Module 1: Introduction to Cybersecurity Compliance and AI

1. 1.1 Overview of Cybersecurity Compliance
2. 1.2 International Compliance Standards
3. 1.3 Developing Compliance Programs
4. 1.4 Implementing Compliance Programs
5. 1.5 AI in Cybersecurity Compliance
6. 1.6 Case Studies and Applications

Module 2: Security and Risk Management with AI

1. 2.1 Risk Management Frameworks
2. 2.2 Conducting Risk Assessments
3. 2.3 AI in Risk Assessment
4. 2.4 Compliance and AI
5. 2.5 Incident Response and AI

Module 3: Asset Security and AI for Compliance

1. 3.1 Data Classification and Protection
2. 3.2 AI in Privacy Protection
3. 3.3 Asset Management with AI
4. 3.4 Case Studies and Best Practices

Module 4: Security Architecture and Engineering with AI

1. 4.1 Secure Design Principles
2. 4.2 AI in Cryptography
3. 4.3 AI in Vulnerability Assessment
4. 4.4 Security Models and AI

Module 5: Communication and Network Security with AI

1. 5.1 Network Security Fundamentals
2. 5.2 AI in Network Monitoring
3. 5.3 AI-driven Network Defense
4. 5.4 Compliance in Network Security

Module 6: Identity and Access Management (IAM) with AI

1. 6.1 IAM Fundamentals
2. 6.2 AI in Identity Verification
3. 6.3 Access Control and AI
4. 6.4 Threats to IAM and AI Solutions

Module 7: Security Assessment and Incident Response with AI

1. 7.1 Security Testing Techniques
2. 7.2 AI in Security Testing
3. 7.3 Continuous Monitoring and AI
4. 7.4 Incident Response Planning
5. 7.5 Managing Cybersecurity Incidents
6. 7.6 Legal and Regulatory Considerations

Module 8: Security Operations with AI

1. 8.1 Security Operations Center (SOC)
2. 8.2 Data Classification and Protection
3. 8.3 Privacy Compliance
4. 8.4 Disaster Recovery and AI
5. 8.5 AI in Security Orchestration

Module 9: Software Development Security and Audit with AI

1. 9.1 Secure Software Development Life Cycle (SDLC)
2. 9.2 AI in Application Security Testing
3. 9.3 AI in Secure DevOps
4. 9.4 Threat Modeling and AI
5. 9.5 Internal and External Audits
6. 9.6 Continuous Monitoring

Module 10: Future Trends in AI and Cybersecurity Compliance

1. 10.1 Emerging AI Technologies
2. 10.2 AI in Cyber Threat Intelligence
3. 10.3 Quantum Computing and AI
4. 10.4 Ethical Considerations and AI Governance
5. 10.5 Practical Applications

Optional Module: AI Agents for Security Compliance

1. 1. What Are AI Agents
2. 2. Key Capabilities of AI Agents in Cyber Security Compliance
3. 3. Applications and Trends for AI Agents in Security Compliance
4. 4. How Does an AI Agent Work
5. 5. Core Characteristics of AI Agents
6. 6. Types of AI Agents

AI Compliance Specialist

Focuses on implementing AI-driven tools to ensure organizational compliance with cybersecurity regulations and standards.

Cybersecurity Risk Analyst (AI)

Uses AI-based solutions to assess and mitigate cybersecurity risks, ensuring proactive threat detection and management.

AI Security Operations Manager

Manages security operations using AI technologies, overseeing incident response, network security, and continuous monitoring for potential threats.

AI Cybersecurity Engineer

Designs and implements AI-powered security solutions, including automated threat detection, response systems, and data protection mechanisms.