- modules: 10
- Examination: 1
- Examination Time: 50 MCQs, 90 Minutes
- Passing Score: 70%
About Certification
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.
Prerequisites
- 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.
Certification Modules
- 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
- 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
- 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
- 4.1 Secure Design Principles
- 4.2 AI in Cryptography
- 4.3 AI in Vulnerability Assessment
- 4.4 Security Models and AI
- 5.1 Network Security Fundamentals
- 5.2 AI in Network Monitoring
- 5.3 AI-driven Network Defense
- 5.4 Compliance in Network Security
- 6.1 IAM Fundamentals
- 6.2 AI in Identity Verification
- 6.3 Access Control and AI
- 6.4 Threats to IAM and AI Solutions
- 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
- 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
- 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
- 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
Certification outcome
Upon completing this course, participants will gain a comprehensive understanding of cybersecurity compliance, focusing on the integration of AI technologies to enhance security measures across various domains. They will be equipped with knowledge of key compliance frameworks, international standards, and effective compliance program development. Learners will explore AI's role in risk management, asset security, identity and access management, and incident response, as well as its application in security architecture, network security, and software development. The course will also cover future trends in AI and cybersecurity, including emerging technologies, quantum computing, and ethical considerations, providing participants with the skills to implement and manage AI-driven security solutions effectively in their organizations.