Emerging Technology Risk Oversight: AI, IoT & Beyond Training Course

Introduction

Rapid technological advancements such as Artificial Intelligence (AI), Internet of Things (IoT), and blockchain have created transformative opportunities for businesses but have also introduced complex and interconnected risks. The Emerging Technology Risk Oversight: AI, IoT & Beyond Training Course equips professionals with the knowledge, frameworks, and tools to identify, assess, and mitigate risks arising from the adoption and integration of emerging technologies.

This course provides a comprehensive approach to technology risk oversight, covering operational, cybersecurity, regulatory, and strategic risks. Participants will learn how to monitor, govern, and control emerging technology initiatives while ensuring alignment with corporate objectives and compliance requirements. By the end of the training, participants will be able to implement risk oversight frameworks, evaluate emerging technology risks, and guide organizations in leveraging innovation safely and responsibly.

Target Audience

• Chief Technology Officers (CTOs) and technology leaders
• Risk management and enterprise risk officers
• IT and cybersecurity professionals
• Compliance and regulatory affairs officers
• Internal auditors overseeing technology initiatives
• Data governance and AI ethics officers
• Innovation managers and digital transformation leaders
• Executive leadership overseeing technology adoption

Duration

10 days

Course Objectives

1. Understand the risk landscape associated with emerging technologies.
2. Identify operational, cyber, and regulatory risks in AI, IoT, and other technologies.
3. Implement risk assessment frameworks tailored for emerging technology initiatives.
4. Strengthen cybersecurity and data protection measures.
5. Align technology adoption with corporate governance and compliance.
6. Monitor and report on technology-related risk metrics.
7. Conduct scenario simulations for high-impact technology risks.
8. Develop policies and controls for emerging technology governance.
9. Apply lessons from real-world technology failures and breaches.
10. Integrate emerging technology risk management into enterprise-wide ERM programs.
11. Build organizational resilience in the face of technological disruption.

Modules

Module 1: Introduction to Emerging Technology Risks

• Overview of AI, IoT, blockchain, and other emerging technologies
• Key risks associated with technology adoption
• Global trends and regulatory considerations
• Operational, cybersecurity, and strategic impacts
• Case studies of technology failures

Module 2: Operational Risks in Emerging Technologies

• System failures and process disruptions
• Integration challenges with legacy systems
• Human error and technology misuse
• Operational risk monitoring frameworks
• Mitigation strategies

Module 3: Cybersecurity Risks in AI and IoT

• Threats to connected devices and AI systems
• Data breaches and cyber-attacks
• Securing networks, endpoints, and sensors
• Cyber risk assessment frameworks
• Lessons from major cybersecurity incidents

Module 4: Regulatory and Compliance Oversight

• Global compliance requirements for emerging technologies
• AI ethics, privacy, and data protection
• Reporting and documentation practices
• Aligning technology initiatives with corporate governance
• Regulatory case studies

Module 5: Risk Assessment Frameworks

• Identifying and categorizing technology risks
• Risk scoring and prioritization techniques
• Integrating risk assessment with project planning
• Scenario-based risk analysis
• Visualization tools and dashboards

Module 6: AI Risk Management

• AI model risks, bias, and ethical considerations
• Performance monitoring and validation
• AI governance frameworks
• Mitigation strategies for AI failures
• Lessons from real-world AI incidents

Module 7: IoT Risk Oversight

• Securing connected devices and networks
• Monitoring IoT vulnerabilities
• Risk mitigation for industrial and consumer IoT
• Data collection and privacy considerations
• Case studies of IoT risk management

Module 8: Blockchain and Emerging Technology Risks

• Risks in distributed ledger systems
• Smart contract vulnerabilities
• Regulatory and operational considerations
• Integrating blockchain risk into ERM
• Lessons from blockchain adoption failures

Module 9: Scenario Planning and Stress Testing

• Simulating technology disruption events
• Evaluating operational, financial, and strategic impacts
• Stress testing frameworks for emerging technology
• Developing mitigation plans
• Embedding scenario analysis in risk oversight

Module 10: Monitoring and Reporting Systems

• Real-time monitoring of technology initiatives
• Key metrics and KPIs
• Dashboard design for executives and boards
• Reporting protocols and governance
• Continuous improvement

Module 11: Governance and Internal Controls

• Establishing technology governance frameworks
• Roles and responsibilities in risk oversight
• Internal control design for emerging tech projects
• Risk reporting and escalation procedures
• Lessons from governance failures

Module 12: Crisis Response and Incident Management

• Responding to technology failures and breaches
• Incident detection and response frameworks
• Coordination between IT, operations, and risk teams
• Post-incident reviews and lessons learned
• Enhancing resilience after incidents

Module 13: Cross-Functional Risk Collaboration

• Coordinating IT, operations, compliance, and risk teams
• Building risk-aware technology teams
• Communication and escalation protocols
• Aligning departmental priorities
• Knowledge sharing and continuous learning

Module 14: Case Studies in Technology Risk Oversight

• Real-world examples of emerging technology failures
• Lessons learned from AI, IoT, and blockchain incidents
• Best practices in mitigation and governance
• Benchmarking global organizations
• Strategic insights for risk oversight

Module 15: Capstone Emerging Technology Risk Workshop

• Hands-on simulations of technology risks
• Team-based assessment exercises
• Developing actionable mitigation and governance plans
• Presenting insights to executive leadership
• Roadmap for safe adoption of emerging technologies

General remarks

• Customizable courses are available to address the specific needs of your organization.
• The participant must be conversant in English
• Participants who successfully complete this course will receive a certificate of completion from Lenol Development Center.
• The course fee for onsite training includes facilitation training materials, tea break and lunch.
• Accommodation and airport pick up are made upon request
• For any inquiries reach us through info@lenoldevelopmentcenter.com or +254 710 314 746
• Payment should be made to our bank