Advanced in AI Risk (AAIR)

Price
$1,995.00 USD

Duration
2 Days

 

Delivery Methods
Virtual Instructor Led
Private Group

Course Overview

The ISACA® Advanced in AI Security Management™ (AAIR™) certification validates risk professionals’ expertise and experience in managing AI-specific risks while harnessing AI’s transformative potential for strategic advantage. This credential builds upon established risk management best practices, focusing on the evolving AI landscape to effectively assess and manage risk profiles within organizations. By fostering cross-functional collaboration, it equips professionals to communicate AI risk comprehensively and ensure ethical and regulatory compliance.

Who Should Attend?

IT Risk Managers, Cybersecurity Risk Professionals, IT Auditors / CISA-certified professionals, Governance & Compliance Leaders, Risk Consultants / Advisory Professionals
  • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
  • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
  • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
  • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
  • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
  • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at https://www.newhorizons.com/eligible.

If you have questions about our Corporate Tech Pass, please contact your Account Manager.

Course Prerequisites

Requires existing certification (typically one of the following): CRISC (primary path) or similar: CISA, CISM, CGEIT, CDPSE - Designed for experienced risk professionals

Agenda

1: AI Risk Governance and Framework Integration

  • AI Models, Frameworks, Strategies, and Use Cases
    • Types of AI
    • AI Frameworks
    • Business Use Case and AI Use Case Review
    • AI Business Strategies
  • AI Organizational Processes and Alignment
    • AI Governance Fundamentals
    • Alignment to Existing Organizational Structures
  • AI Ownership, Oversight, and Accountability
    • AI-related Roles and Responsibilities
    • Accountability and AI
    • RACI for AI Solutions
  • AI Policies, Procedures, and Organizational Training
    • AI Acceptable Use Policy
    • AI Policy Development
    • AI Procedures and Manuals
    • Organizational Culture and AI Risk Governance
    • Elements of Effective AI Training and Awareness
  • AI Regulatory Compliance and Legal Considerations
    • Compliance With Laws and Regulations
    • Gaps in Regulatory Coverage
    • Mapping Legal Requirements for AI
    • Assessing Legal Exposure and Liability for AI Actions
    • Intellectual Property Considerations in AI
    • Vendor Contract Review
  • AI Trustworthiness, Ethical and Societal Implications
    • Responsible Use of AI Systems 68
    • Bias and Fairness
    • Transparency and Explainability
    • Trust and Safety
    • Human Rights and Societal Impact
    • Environmental Impact

2: AI Life Cycle Risk Management

  • AI Design, Development, Procurement, and Documentation
    • Plan and Design
    • Data Requirements for AI Models
    • Procurement of AI Solutions
    • Build, Adapt, and Document Models
  • AI Model Training, Testing and Validation
    • Sourcing Datasets
    • Validating the Data
    • Model Training
    • Model Testing and Validation
    • Model Performance and Fine Tuning
  • AI Implementation, Maintenance, and Decommissioning
    • AI Deployment and Implementation
    • Robustness and Scalability Considerations
    • Monitoring and Managing Model Drift
    • Change Management in AI Systems
    • Decommissioning AI Solutions
  • AI Data and Asset Management
    • AI Asset Inventory
    • Data Collection for AI
    • Data Classification
    • Data Confidentiality
    • Data Quality
    • Data Balancing
    • Data Scarcity
    • Data Security
    • Data Preparation and Normalization
    • Data Minimization and Privacy Considerations

3: AI Risk Program Management

  • AI Risk Scenario Identification and Assessment
    • AI Threat Landscape
    • AI Threat Modeling
    • Development of AI Risk Scenarios
    • AI Risk Classification
    • AI Risk Assessment
  • AI Risk Treatment Strategies
    • Accept
    • Avoid
    • Mitigation
    • Transfer/Share
    • AI Controls Management
      • AI Control Types and Control Frameworks
      • AI Control Selection and Validation
      • Control Performance
      • Controls Specific to AI Solutions
      • Use of AI in Control Management
    • AI Risk Metrics, Monitoring, and Reporting
      • Risk and Performance Metrics
      • AI Risk Reportings
    • AI Supply Chain Risk Management
      • AI Vendor Management
      • AI Shared Responsibility Model
      • AI Software Supply Chain Risk
      • Cloud Computing Risk in AI Supply Chains
    • AI Incident Response, BIA, Business Continuity, and Disaster Recovery
      • AI Business Impact Analysis
      • Prepare
      • Identify and Report
      • Assess
      • Respond
      • Post-incident Review
 

Get in touch to schedule training for your team
We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.

 



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