The goal of this program is to equip security architects, strategists, and business leaders with the framework to design and implement a security strategy that enables and protects digital transformation initiatives:

• Enterprise and Security Architects.
• CISO and Security Directors.
• Heads of Digital Transformation and Innovation.
• Cloud Security Specialists.
• IoT and OT Security Managers.
• DevOps and Application Security Engineers.
• Risk and GRC Professionals.

• Group activity designing a secure reference architecture for a new multi-cloud application.
• Case studies on DX initiatives that were stalled or compromised due to poor security.
• Discussions on the ethical and security challenges of AI and data privacy.
• Individual exercises mapping IoT device risks to existing security controls.
• Role-playing a consultation with a business unit head on securing their new digital product.

Unit 1: Security as a Digital Transformation Enabler

• Defining digital transformation (DX) and its impact on the security perimeter.
• The speed vs. security paradox and how to resolve it.
• Identifying and prioritizing the new risks introduced by DX (e.g., Shadow IT, API sprawl).
• Shifting the security mindset from "gatekeeper" to "enabler."

• Embedding security requirements into the DX governance structure.
• Applying Security by Design principles to new digital initiatives.
• Establishing a security architecture review process for new technology adoption.
• Developing a risk appetite that supports innovation velocity.

Unit 2: Cloud Security Architecture for DX

• Designing a unified security policy and control plane for multi-cloud (AWS, Azure, GCP).
• Securing hybrid environments and cloud-to-on-premises connectivity.
• Leveraging Cloud Security Posture Management (CSPM) for continuous assurance.
• Managing identity and least privilege access across federated cloud platforms.

• Security for containers, microservices, and Kubernetes.
• Identity and access management for serverless functions (FaaS).
• Securing CI/CD pipelines and Infrastructure as Code (IaC) in a DevSecOps model.
• API security gateways and securing data transfer between services.

Unit 3: Internet of Things (IoT) Security

• Unique security challenges of IoT (unmanaged devices, long lifecycles, resource constraints).
• IoT device provisioning, authentication, and secure update management.
• Securing the IoT communication protocol stack (e.g., MQTT, CoAP).
• Asset inventory and lifecycle management for vast numbers of devices.

• The convergence of IT and OT security and its implications.
• Segmentation and network isolation for Industrial Control Systems (ICS).
• Managing legacy systems and patch management in OT environments.
• Implementing anomaly detection and monitoring in critical infrastructure.

Unit 4: Securing Emerging Technologies

• Securing AI/ML pipelines and training data integrity.
• Managing risks from adversarial machine learning attacks (data poisoning, evasion).
• Privacy and ethical considerations for using big data and AI.
• Securing big data platforms (e.g., Hadoop, data lakes) and access control.

• Security considerations for blockchain and distributed ledger technologies.
• Managing risk in 5G and edge computing architectures.
• Addressing security challenges in the Extended Reality (XR) environment.
• Integrating security awareness and training for new technologies.

Unit 5: Governance and Continuous Assurance

• Conducting continuous risk assessment on new digital products and services.
• Developing Key Risk Indicators (KRIs) specific to cloud and IoT risk.
• Integrating privacy and security reviews into the product launch gate process.
• Managing third-party and vendor risk for new digital partners.

• Leveraging automation to enforce policy and security controls at DX speed.
• Building a security reference architecture for future digital services.
• Measuring and reporting the value of security to DX success.
• Establishing a Security Center of Excellence (CoE) to support innovation.