TD SYNNEX Inspire Japan 2026

About this event

Securing AI Across Hybrid & Multi-Cloud AI workloads are increasingly spread across on-premises, private cloud, and multi-cloud environments. This creates new security gaps around visibility, access, data movement, and AI-to-system interactions. Join us for a practical discussion on securing distributed AI environments beyond traditional perimeter controls. Agenda • Hybrid AI Blind Spots Visibility across AI workloads, identities, data, and models. • Why Perimeters Fail for AI Understanding new access and data-flow risks across distributed environments. • Zero Trust for AI Protecting workloads, identities, and AI-to-tool interactions with LSS, eBPF, and KubeArmor. • AI Supply Chain Visibility Using SBOM and xBOM to track components and dependencies. • AI-Specific Risk Surfaces Securing model access, prompts, data flows, and agent-to-system communication. Walk away with a practical reference model for evaluating and securing AI environments across hybrid and multi-cloud infrastructure.