Govern AI. Manage the Risk.

Advanced in AI Security Management

Delegates learn how to identify AI use, assess AI risk, manage suppliers, define controls, prepare for AI incidents, collect evidence and report AI risk clearly to senior stakeholders.

Advanced in AI Security Management

Artificial Intelligence is changing how organisations use information, make decisions, deliver services and manage risk. As AI moves from experimentation into live business use, security managers must understand how to govern, risk assess, control, monitor and assure AI-enabled systems.

“In just two focused days, you’ll:

  • Establish and manage robust AI governance structures.
  • Conduct comprehensive AI risk assessments and manage threats/vulnerabilities.
  • Design and implement secure AI architectures and technical controls.
  • Ensure compliance with regulatory and ethical standards.
  • Communicate and embed responsible AI practices across the organisation.

It is not a data science course and it is not a technical AI programming course. It is an AI security management course for people responsible for governance, risk, control, assurance and leadership.

Course Outcomes: What You'll Walk Away With

A clear management-level explanation of AI security risk

An AI risk assessment method and AI risk register structure

AI supplier assurance questions and evidence expectations

AI technical control areas and architecture challenge questions

Assurance evidence themes and board reporting considerations

A practical 90-day AI security management action plan

Course Overview: The Three Domains of AAISM

AI Governance and Programme Management: Stakeholder engagement, frameworks, policy, lifecycle management, incident response.

AI Risk and Opportunity Management: Risk assessment, threat/vulnerability management, supply chain, impact assessment.

AI Technologies and Controls: Secure AI architecture, data management, privacy/ethics, technical controls, monitoring.

 

Who This Is For

This workshop is designed for experienced Information Security, Cyber, Risk, Audit and Governance professionals who already understand core security management principles and now need to apply them to AI.

Learn how to use the Nemstar security management approach to turn AI uncertainty into practical governance, risk assessment, controls, monitoring, incident response and assurance.

Duration: 2 Days, Online

Advanced in AI Security Management

Delegates will learn how to apply recognised AI governance and security frameworks, including ISO/IEC 42001, NIST AI RMF and EU AI Act concepts, in a practical and proportionate way.

Mapped to ISACA AAISM domains: Governance & Programme Management, Risk & Opportunity Management, Technologies & Controls.

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