Cybersecurity · Self-paced
AI+ Security Compliance™
Master AI Security Compliance, Governance, and Regulatory Frameworks.
Executive summary
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.
Built for these roles
Before you start
Basic understanding of cybersecurity principles.
Knowledge of networking fundamentals.
Familiarity with programming concepts and languages (Python recommended).
An introductory course on AI or machine learning is beneficial but not required.
One-time price
$280
40 hours, self-paced. Lifetime access, certificate included.
Certification exam included (limited attempts).
Secure checkout via Stripe. Instant access after payment.
Curriculum
What you'll cover.
40 hours of self-paced content. Work through it in order, on your schedule.
Module 1: Introduction to Cybersecurity Compliance and AI
1.1 Overview of Cybersecurity Compliance
1.2 International Compliance Standards
1.3 Developing Compliance Programs
1.4 Implementing Compliance Programs
1.5 AI in Cybersecurity Compliance
1.6 Case Studies and Applications
Module 2: Security and Risk Management with AI
2.1 Risk Management Frameworks
2.2 Conducting Risk Assessments
2.3 AI in Risk Assessment
2.4 Compliance and AI
2.5 Incident Response and AI
Module 3: Asset Security and AI for Compliance
3.1 Data Classification and Protection
3.2 AI in Privacy Protection
3.3 Asset Management with AI
3.4 Case Studies and Best Practices
Module 4: Security Architecture and Engineering with AI
4.1 Secure Design Principles
4.2 AI in Cryptography
4.3 AI in Vulnerability Assessment
4.4 Security Models and AI
Module 5: Communication and Network Security with AI
5.1 Network Security Fundamentals
5.2 AI in Network Monitoring
5.3 AI-driven Network Defense
5.4 Compliance in Network Security
Module 6: Identity and Access Management (IAM) with AI
6.1 IAM Fundamentals
6.2 AI in Identity Verification
6.3 Access Control and AI
6.4 Threats to IAM and AI Solutions
Module 7: Security Assessment and Incident Response with AI
7.1 Security Testing Techniques
7.2 AI in Security Testing
7.3 Continuous Monitoring and AI
7.4 Incident Response Planning
7.5 Managing Cybersecurity Incidents
7.6 Legal and Regulatory Considerations
Module 8: Security Operations with AI
8.1 Security Operations Center (SOC)
8.2 Data Classification and Protection
8.3 Privacy Compliance
8.4 Disaster Recovery and AI
8.5 AI in Security Orchestration
Module 9: Software Development Security and Audit with AI
9.1 Secure Software Development Life Cycle (SDLC)
9.2 AI in Application Security Testing
9.3 AI in Secure DevOps
9.4 Threat Modeling and AI
9.5 Internal and External Audits
9.6 Continuous Monitoring
Module 10: Future Trends in AI and Cybersecurity Compliance
10.1 Emerging AI Technologies
10.2 AI in Cyber Threat Intelligence
10.3 Quantum Computing and AI
10.4 Ethical Considerations and AI Governance
10.5 Practical Applications
Ready to get certified?
Start today, learn at your own pace, and add a globally recognised credential to your name.
Trusted by governments and enterprises across the GCC.