This program provides essential skills for auditing AI-driven cybersecurity systems. It focuses on risk identification, compliance auditing, and evaluation of AI security practices. Participants will gain insights into AI vulnerabilities, threat modeling, and secure deployment standards. The course prepares professionals to assess AI systems from a cybersecurity risk perspective. It emphasizes regulatory compliance, auditing methodology, and industry best practices. Designed by Tonex experts, this certification enhances the ability to perform independent AI cyber risk assessments. It is ideal for professionals aiming to lead or support AI cybersecurity audit functions in diverse technical environments.
Audience:
- Cybersecurity auditors
- Risk and compliance professionals
- AI system developers
- IT security managers
- Government and defense analysts
- Internal and external IT auditors
Learning Objectives:
- Understand AI-specific cyber risk frameworks
- Identify vulnerabilities in AI-based systems
- Evaluate compliance with AI cybersecurity standards
- Conduct effective AI cybersecurity audits
- Recommend risk mitigation strategies for AI systems
Program Modules:
Module 1: Foundations of AI in Cybersecurity Risk
- Introduction to AI technologies and models
- Overview of AI threat landscape
- Key risk domains in AI deployment
- Understanding AI model behaviors and decisions
- Risks from AI training data and algorithms
- Cybersecurity implications of generative AI
Module 2: Cybersecurity Risk Assessment for AI Systems
- Cyber risk frameworks adapted for AI
- Threat modeling for AI environments
- AI system attack surfaces and entry points
- Risk scoring methods for AI platforms
- Exposure analysis and mitigation techniques
- Security documentation and audit trails
Module 3: Regulatory and Compliance Standards
- Overview of AI-related cybersecurity regulations
- GDPR, NIST, ISO and their AI components
- AI system audit checklists
- Documentation and reporting best practices
- Aligning audits with regulatory mandates
- Challenges in AI compliance enforcement
Module 4: Auditing AI-Based Security Controls
- Control evaluation techniques for AI environments
- Identity and access audits for AI platforms
- Integrity and logging of AI operations
- Model explainability and audit transparency
- Penetration testing in AI security audits
- Detection of model manipulation and bias
Module 5: Risk Mitigation and Audit Reporting
- Designing audit reports for AI systems
- Communicating audit findings to stakeholders
- Action plans for security remediation
- AI risk mitigation strategies
- Continuous auditing approaches
- Integrating feedback for AI system improvement
Module 6: Case Studies and Industry Applications
- AI in financial systems: Audit scenarios
- Healthcare AI system risks and audits
- Critical infrastructure AI applications
- Defense sector AI audit practices
- Lessons from real-world AI failures
- Future challenges in AI cybersecurity audits
Exam Domains:
- AI Risk Frameworks and Principles
- AI Threat Detection and Vulnerability Mapping
- Compliance and Regulatory Alignment
- AI Audit Planning and Execution
- Incident Response for AI Failures
- Ethical and Governance Considerations in AI Auditing
Course Delivery:
The course is delivered through a combination of lectures, interactive discussions, and project-based learning, facilitated by experts in the field of AI cybersecurity. Participants will have access to online resources, including readings, case studies, and tools for practical understanding.
Assessment and Certification:
Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a certificate in Certified AI Cyber Security Risk Auditor (AICRA).
Question Types:
- Multiple Choice Questions (MCQs)
- True/False Statements
- Scenario-based Questions
- Fill in the Blank Questions
- Matching Questions (Matching concepts or terms with definitions)
- Short Answer Questions
Passing Criteria:
To pass the Certified AI Cyber Security Risk Auditor (AICRA) Certification Training exam, candidates must achieve a score of 70% or higher.
Enhance your auditing expertise in AI cybersecurity. Enroll now in the AICRA Certification Program and become a trusted leader in AI cyber risk auditing.