ISACA Advanced in AI Security Management (AAISM)
- Code training AAISM
- Duur 2 dagen
- Versie 1.0
Andere trainingsmethoden
Ga naar:
Methode
Deze training is in de volgende formats beschikbaar:
-
E-learning (in je eigen tempo)
Elektronisch leren in je eigen tempo
-
Klassikale training
Klassikaal leren
-
Op locatie klant
Op locatie klant
-
Virtueel leren
Virtueel leren
Vraag deze training aan in een andere lesvorm.
Trainingsbeschrijving
Naar bovenThe ISACA Advanced in AI Security Management certification is designed for experienced security professionals who are ready to lead in the evolving landscape of AI-driven enterprise environments. This course equips learners with the knowledge and tools to manage AI-specific risks, implement effective governance frameworks, and ensure the secure and ethical use of AI technologies across the organization. Participants will explore how AI is reshaping the threat landscape and gain practical strategies to reinforce their organization’s security posture in response.
Throughout the course, learners will dive into three core domains: AI Governance and Program Management, AI Risk Management, and AI Technologies and Controls. These areas cover everything from designing AI governance models and aligning them with business objectives, to identifying AI-specific vulnerabilities, managing third-party risks, and embedding AI into secure architectures. The course also addresses critical topics such as data privacy, ethical AI use, and regulatory compliance—ensuring participants are well-prepared to advise stakeholders and lead secure AI initiatives.
Whether you're a CISM or CISSP holder looking to expand your expertise, or a security leader navigating the complexities of AI integration, this course offers a forward-looking credential that validates your ability to manage AI-related security challenges with confidence and clarity.
Data
Naar boven-
- Methode: Klassikale training
- Datum: 26-27 mei, 2026 | 09:00 to 17:00
- Locatie: Nieuwegein (Iepenhoeve 5) (W. Europe )
- Taal: Nederlands
-
- Methode: Virtueel leren
- Datum: 26-27 mei, 2026 | 09:00 to 17:00
- Locatie: Virtueel-en-klassikaal (W. Europe )
- Taal: Nederlands
-
- Methode: Klassikale training
- Datum: 15-16 juni, 2026 | 09:00 to 17:00
- Locatie: Nieuwegein (Iepenhoeve 5) (W. Europe )
- Taal: Nederlands
-
- Methode: Virtueel leren
- Datum: 15-16 juni, 2026 | 09:00 to 17:00
- Locatie: Virtueel-en-klassikaal (W. Europe )
- Taal: Nederlands
-
- Methode: Klassikale training
- Datum: 30 juni-01 juli, 2026 | 09:00 to 17:00
- Locatie: Nieuwegein (Iepenhoeve 5) (W. Europe )
- Taal: Nederlands
-
- Methode: Virtueel leren
- Datum: 30 juni-01 juli, 2026 | 09:00 to 17:00
- Locatie: Virtueel-en-klassikaal (W. Europe )
- Taal: Nederlands
Doelgroep
Naar bovenDesigned for seasoned, mid-to-senior level cybersecurity and information security professionals looking to specialize in the governance, risk management, and security of enterprise AI systems.
Trainingsdoelstellingen
Naar bovenAfter completing this course you should have an understanding of:
- AI Governance and Program Management including stakeholder considerations, industry frameworks, and regulatory requirements; AI-related strategies, policies and procedures; AI asset and data life cycle management; AI security program development and business continuity and incident response.
- AI Risk Management including AI risk assessment, thresholds, and treatment; AI-related strategies, policies, and procedures; AI vendor and supply chain management.
- AI Technologies and Controls including AI security architecture and design; AI life cycle (model selection, training, and validation); data management controls; privacy, ethical, trust and safety controls; security controls and monitoring.
Inhoud training
Naar bovenAI Governance and Program Management
- Stakeholder Considerations, Industry Frameworks, and Regulatory Requirements
- AI-related Strategies, Policies, and Procedures
- AI Asset and Data Life Cycle Management
- AI Security Program Development and Management
- Business Continuity and Incident Response
AI Risk Management
- AI Risk Assessment, Thresholds, and Treatment
- AI-related Strategies, Policies, and Procedures
- AI Vendor and Supply Chain Management
AI Technologies and Controls
- AI Security Architecture and Design
- AI Life Cycle (e.g., model selection, training, and validation)
- Data Management Controls
- Privacy, Ethical, Trust and Safety Controls
- Security Controls and Monitoring
Voorkennis
Naar bovenAttendees should meet the following prerequisites:
- A foundational understanding of AI systems.
- Hold an active CISM or CISSP certification.
Examen
Naar bovenRecommended as Preparation for the following exams:
- AAISM - ISACA Advanced in AI Security Management™ (AAISM™) Certification