TD SYNNEX Inspire Japan 2026

## 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.