AAISM – Advanced in AI Security Management Training Course

Artificial intelligence can create significant business opportunities, but it also introduces new security, privacy, governance and compliance risks. Organisations need experienced professionals who can oversee AI adoption, assess emerging threats and ensure that appropriate controls are embedded throughout the AI lifecycle.

Who this course is for

The AAISM – Advanced in AI Security Management Training Course is a two-day intensive programme designed for experienced information security and cyber security professionals, including:

• CISOs, Deputy CISOs, Heads of Security, GRC, SOC and Risk
• Security architects, audit and assurance leads
• Teams responsible for AI governance, risk or controls
• Experienced information security and cyber professionals (CISM/CISSP or equivalent)

This course is suitable for organisations that are already using AI or preparing to deploy AI systems at scale and need to bridge the gap between high-level AI policy and secure, auditable implementation.

What you’ll learn

The course provides a practical understanding of how to govern, manage and secure enterprise AI systems. It is structured around the three core ISACA AAISM domains: AI Governance and Programme Management, AI Risk and Opportunity Management, and AI Technologies and Controls.

Delegates will learn how to establish effective AI governance structures, develop policies and accountability frameworks, assess AI-related risks and opportunities, manage threats and vulnerabilities, and implement secure AI architectures and technical controls. The course also explores data governance, privacy, ethics, supply-chain risk, incident management, regulatory requirements and the ongoing monitoring of AI systems.

Course outline

1. AI Governance, Accountability and Acceptable Use
2. AI Asset, Data and Lifecycle Management
3. AI Risk Assessment and AI Risk Registers
4. Shadow AI, Vendor AI and Supply Chain Assurance
5. AI Security Architecture and Technical Control Expectations
6. AI Monitoring, Incident Response and Operational Resilience
7. AI Assurance, Evidence, Metrics and Board Reporting
8. 90-Day AI Security Management Action Planning

Content is aligned with recognised frameworks and regulatory requirements, including ISO/IEC 42001, the NIST AI Risk Management Framework and the EU AI Act. Through practical activities, case studies and workplace-focused scenarios, delegates will develop skills they can apply immediately within their organisation.

By the end of the course, delegates will be able to:

• Establish and manage effective AI governance structures;
• Conduct AI risk, impact and vulnerability assessments;
• Design and implement secure AI architectures and controls;
• Address privacy, ethical and regulatory requirements;
• Manage AI-related incidents, suppliers and lifecycle risks;
• Monitor the performance, security and compliance of AI systems; and
• Communicate and embed responsible AI practices across the organisation.

Electronic courseware is provided including delegate notes, practical AI security management checklists, scenario exercises, control questions, risk templates and study support materials.