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AAIR training - Advanced in AI Risk

AAIR training - Advanced in AI Risk

3 days Classroom Engels, Nederlands

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Description

The AAIR training provides you with the strategic skills to guide management in dealing with AI-related risks and to protect organizations against potential financial and reputational damage. This AI-focused IT risk management certification was specifically developed by ISACA to expand the expertise of existing, certified IT risk professionals with targeted knowledge of AI and its associated risks. 

With the rapid rise of AI solutions and threats, it is essential to collaborate quickly and effectively across the organization and to advise appropriate measures for specific AI risks. The AAIR training helps risk professionals develop a deep understanding of AI technologies and the associated challenges. During the training, topics such as AI Risk Governance, AI Life Cycle Risk Management, and AI Risk Program Management are covered.

Because a concrete AI Risk Assessment receives minimal attention during the regular 2-day course, you will take the AAIR training exclusively at TSTC with an additional added day. On this third, practically oriented day, we will delve deeper into actually conducting an AI Risk Assessment based on the guidelines from the progressive OWASP AI Exchange. By adding this extra (non-exam) material, you will gain a more complete picture of an organization-wide AI Risk policy and will be able to guide others through the necessary steps from a management point of view. 

The AAIR training and exam consist of three 'job practice areas' (see the 'modules' section). ISACA continuously assesses their content against current events to ensure that the training remains aligned with the contemporary profile of the (AI) Risk Manager.

Certification

This training prepares you for the AAIR exam from ISACA, which is optionally included with the training. This exam can be taken at various exam locations in the Netherlands, including at TSTC. If desired, the exam can also be taken under strict online supervision from home. The AAIR exam consists of 90 multiple-choice questions and lasts 150 minutes. To participate in the exam, you must hold an active CISA, CISM, CGEIT, CRISC, CDPSE, or CISSP certification.

Training Requirements

  • IT risk professionals die hun kennis willen uitbreiden met AI-specifiek risicomanagement
  • Risk managers en enterprise risk professionals die AI willen integreren in bestaande ERM-frameworks
  • CISO’s en security managers die verantwoordelijk zijn voor strategische risicoafwegingen rondom AI
  • Compliance- en privacy professionals die moeten toezien op wet- en regelgeving rond AI
  • GRC-specialisten (Governance, Risk & Compliance) die AI willen opnemen in governance- en control frameworks
  • Internal auditors die AI-systemen en -processen moeten beoordelen
  • Consultants en adviseurs die organisaties begeleiden bij AI-adoptie en risicobeheersing
  • Voorkennis: om na de training ook AAIR examen te mogen doen, dien je over een actieve CISA, CISM, CGEIT, CRISC, CDPSE of CISSP certificering te beschikken. Dit is GEEN voorwaarde voor deelname aan de training zelf die ook kan worden afgerond met een bewijs van deelname.

Training Content

AI modellen, frameworks, strategieën en toepassingen van AI binnen de organisatie

AI organisatorische processen en afstemming met bestaande bedrijfs- en IT-processen

AI eigenaarschap, toezicht en verantwoordelijkheden rondom AI

AI beleid, procedures en organisatorische training

Naleving van wet- en regelgeving en juridische kaders rond AI

Betrouwbaarheid van AI en impact op ethiek, maatschappij en duurzaamheid)

Ontwerp, ontwikkeling/inkoop en documentatie van AI-systemen

Trainen, testen en valideren van AI-modellen

In gebruik nemen, beheren en buiten gebruik stellen van AI-oplossingen

Beheer van data en AI-gerelateerde bedrijfsmiddelen

Identificatie en beoordeling van AI-risicoscenario’s (bijv. dreigingen, kwetsbaarheden en aanvallen)

Strategieën voor het behandelen en beheersen van AI-risico’s

AI controls management (bijv. evaluatie, selectie en validatie van beheersmaatregelen)

AI risico-indicatoren, monitoring en rapportage

AI risicobeheer in de keten, zoals third party resources

AI incident response, BIA, business continuity en disaster recovery

Description

The AAIR training provides you with the strategic skills to guide management in dealing with AI-related risks and to protect organizations against potential financial and reputational damage. This AI-focused IT risk management certification was specifically developed by ISACA to expand the expertise of existing, certified IT risk professionals with targeted knowledge of AI and its associated risks. 

With the rapid rise of AI solutions and threats, it is essential to collaborate quickly and effectively across the organization and to advise appropriate measures for specific AI risks. The AAIR training helps risk professionals develop a deep understanding of AI technologies and the associated challenges. During the training, topics such as AI Risk Governance, AI Life Cycle Risk Management, and AI Risk Program Management are covered.

Because a concrete AI Risk Assessment receives minimal attention during the regular 2-day course, you will take the AAIR training exclusively at TSTC with an additional added day. On this third, practically oriented day, we will delve deeper into actually conducting an AI Risk Assessment based on the guidelines from the progressive OWASP AI Exchange. By adding this extra (non-exam) material, you will gain a more complete picture of an organization-wide AI Risk policy and will be able to guide others through the necessary steps from a management point of view. 

The AAIR training and exam consist of three 'job practice areas' (see the 'modules' section). ISACA continuously assesses their content against current events to ensure that the training remains aligned with the contemporary profile of the (AI) Risk Manager.

Certification

This training prepares you for the AAIR exam from ISACA, which is optionally included with the training. This exam can be taken at various exam locations in the Netherlands, including at TSTC. If desired, the exam can also be taken under strict online supervision from home. The AAIR exam consists of 90 multiple-choice questions and lasts 150 minutes. To participate in the exam, you must hold an active CISA, CISM, CGEIT, CRISC, CDPSE, or CISSP certification.

Training Requirements

  • IT risk professionals die hun kennis willen uitbreiden met AI-specifiek risicomanagement
  • Risk managers en enterprise risk professionals die AI willen integreren in bestaande ERM-frameworks
  • CISO’s en security managers die verantwoordelijk zijn voor strategische risicoafwegingen rondom AI
  • Compliance- en privacy professionals die moeten toezien op wet- en regelgeving rond AI
  • GRC-specialisten (Governance, Risk & Compliance) die AI willen opnemen in governance- en control frameworks
  • Internal auditors die AI-systemen en -processen moeten beoordelen
  • Consultants en adviseurs die organisaties begeleiden bij AI-adoptie en risicobeheersing
  • Voorkennis: om na de training ook AAIR examen te mogen doen, dien je over een actieve CISA, CISM, CGEIT, CRISC, CDPSE of CISSP certificering te beschikken. Dit is GEEN voorwaarde voor deelname aan de training zelf die ook kan worden afgerond met een bewijs van deelname.

Training Content

AI modellen, frameworks, strategieën en toepassingen van AI binnen de organisatie

AI organisatorische processen en afstemming met bestaande bedrijfs- en IT-processen

AI eigenaarschap, toezicht en verantwoordelijkheden rondom AI

AI beleid, procedures en organisatorische training

Naleving van wet- en regelgeving en juridische kaders rond AI

Betrouwbaarheid van AI en impact op ethiek, maatschappij en duurzaamheid)

Ontwerp, ontwikkeling/inkoop en documentatie van AI-systemen

Trainen, testen en valideren van AI-modellen

In gebruik nemen, beheren en buiten gebruik stellen van AI-oplossingen

Beheer van data en AI-gerelateerde bedrijfsmiddelen

Identificatie en beoordeling van AI-risicoscenario’s (bijv. dreigingen, kwetsbaarheden en aanvallen)

Strategieën voor het behandelen en beheersen van AI-risico’s

AI controls management (bijv. evaluatie, selectie en validatie van beheersmaatregelen)

AI risico-indicatoren, monitoring en rapportage

AI risicobeheer in de keten, zoals third party resources

AI incident response, BIA, business continuity en disaster recovery

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What Can I Learn After The AAIR training - Advanced in AI Risk?

  • Assessing AI risks throughout the entire lifecycle, from design and algorithms to training and model drift.
  • Establish a complete AI risk management framework, including roles, responsibilities, and risk appetite.
  • Develop effective measures and strategies to manage or mitigate AI risks.
  • Evaluate AI use cases based on the organization's risk appetite.
  • Translating AI risks into clear reports and KPIs for management and governance.
  • Assess whether AI solutions are suitable within your organization and align with the context and objectives.
  • Developing and implementing AI risk policies and procedures.
  • Testing whether AI applications comply with laws and regulations, standards, and guidelines.
  • Continuously monitor AI risks through testing, controls, and process analyses.
  • Analyze and assess threats and vulnerabilities within AI projects.
  • Integrating AI risk management into existing enterprise risk management (ERM) frameworks and programs.
  • Conduct structured risk analyses to identify, classify, and prioritize AI risks.
  • Processing AI risks in governance, risk registers, and control frameworks.
  • Involve stakeholders and train them in awareness of AI risks and responsible use.
  • Securing AI risks in incident management, change management, and business continuity processes.

Schedules

This training is scheduled as follows in the coming period. Missing a date? Feel free to contact us.

Date: 5 - 7 oktober 2026

Location: TSTC - Klassikaal & Live Online

Date: 9 - 11 december 2026

Location: TSTC - Klassikaal & Live Online

Date: In overleg

Location:

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I am taking this next step in my lifelong learning journey.

1

Applicant Information

2

Billing Information

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