Introduction:

ISO/IEC 27400 represents a structured framework for managing security and privacy risks across Internet of Things (IoT) ecosystems, covering devices, systems, and services throughout their lifecycle. The Lead Manager role focuses on governing control implementation, aligning IoT security with organizational risk management, and ensuring coordination across stakeholders. This training program presents governance frameworks, lifecycle models, and control management structures for IoT security and privacy based on ISO/IEC 27400. It outlines asset management systems, risk models, incident response structures, and performance monitoring frameworks that organize IoT security within institutional environments.

Program Objectives:

By the end of this program, participants will be able to:

• Analyze IoT security and privacy principles and lifecycle structures.

• Evaluate organizational context, roles, and governance frameworks for IoT environments.

• Assess asset management and risk management structures for IoT systems.

• Examine security and privacy control frameworks across IoT stakeholders.

• Explore monitoring, incident response, and improvement structures for IoT security.

Target Audience:

• IoT security and cybersecurity managers.

• Risk and compliance professionals.

• IT and digital infrastructure leaders.

• Security consultants in IoT environments.

• Professionals responsible for connected systems governance.

Program Outline:

Unit 1:

IoT Security and Privacy Foundations:

• IoT concepts, system characteristics, and architectural structures.

• Security and privacy principles in distributed IoT environments.

• IoT lifecycle models and stakeholder structures.

• Threat landscape and vulnerability classification in IoT systems.

• Institutional role of ISO/IEC 27400 in IoT governance.

Unit 2:

Organizational Context and Governance Structures:

• Organizational context analysis for IoT environments.

• Roles, responsibilities, and accountability frameworks.

• Governance structures for IoT security and privacy.

• Alignment between IoT systems and business processes.

• Policy and regulatory coordination models for IoT ecosystems.

Unit 3:

Asset Management and Risk Management Models:

• IoT asset classification structures and lifecycle tracking.

• Asset ownership and responsibility models.

• Risk identification, analysis, and evaluation frameworks.

• Risk treatment and mitigation structures for IoT systems.

• Integration between asset management and risk governance.

Unit 4:

IoT Security and Privacy Control Frameworks:

• Control structures for IoT service providers and developers.

• Security and privacy controls for IoT users and environments.

• Data protection and communication security models.

• Access control and device integrity structures.

• Interdependencies between control layers across IoT systems.

Unit 5:

Monitoring, Incident Management, and Improvement:

• Monitoring and measurement frameworks for IoT controls.

• Incident detection, reporting, and response structures.

• Testing and validation models for IoT security controls.

• Performance evaluation and reporting frameworks.

• Continuous improvement and resilience structures.