Singapore’s public sector is rapidly implementing and scaling Artificial Intelligence across all agencies. However, the success ofthis AI mandate will be impacted by the security, visibility, and resilience of its underlying infrastructure.

This exclusive, closed-door roundtable will bring together Singapore’s public sector technology pioneers to discuss how tooperationalise digital autonomy while accelerating AI implementation.

Together with industry experts from SUSE, we will explore practical strategies for shedding light on the underlying infrastructure,neutralising the threats of shadow AI, and building an open, highly visible, and future-proof digital public infrastructure thatserves the nation safely.

True digital sovereignty requires total structural visibility; it is about who controls the underlying software stack.

By shifting the focus to enterprise open-source foundations such as secure Linux and orchestrated Kubernetes, technologyleaders can implement hardcoded data guardrails that ensure safety and transparency from multi-cloud environments downto the tactical edge.

Key Takeaways:

Operationalising AI Sovereignty & Trust: How to build "trusted data by design" guardrails into the software layer, allowing agencies to train and deploy localized AI models safely without compromising data privacy or national security boundaries.
Mitigating Supply Chain Risk via Enterprise Open Source: How a curated, enterprise-supported open-source model ensures long-term lifecycle stability, rapid vulnerability patching, and compliance with strict public sector procurement and security frameworks.
Securing the Frontline and the Edge: Practical approaches to safely extending computing power and secure software delivery to the edge—whether in public health settings, critical transportation networks, or tactical homeland security operations.
Simplifying Workload Management Across Stacks: Strategies for simplifying governance across complex, multi-location environments. Attendees will learn how to unify orchestration to smoothly manage workloads moving between on-premise infrastructure and various global hyperscalers.
Neutralising Latent AI Infrastructure Risks: Understanding the severe security trade-offs of unmanaged AI implementations. This pillar covers how a lack of structural visibility directly exposes agencies to data leakage, hidden software vulnerabilities, sophisticated cyber attacks, and the long-term operational paralysis of proprietary vendor lock-in.

Architecting AI & Digital Autonomy: Securing Public Good Innovation from Core to Edge

Rhys Oxenham