Why 'data can't leave our network' is the most common AI Hive deployment conversation

Across banking, healthcare, and manufacturing engagements, the same conversation happens in the first meeting:

'We're interested in AI agents. But our data cannot leave our network.'

Why this matters more in 2026:

→ Vietnam AI Law 134/2025 took effect in March — adds data localisation and explainability requirements

→ EU AI Act enforcement is ramping for high-risk systems

→ MAS TRM in Singapore is being applied more strictly to AI workflows

→ Healthcare PHI regulations across APAC are tightening, not loosening

How AI Hive addresses it:

→ Fully on-premise deployment option — runs inside the client's Kubernetes cluster, no external calls, no telemetry

→ Air-gapped deployment supported for environments that physically cannot connect to the internet

→ Model-agnostic — clients can choose self-hosted Llama for sensitive data, frontier models via controlled gateways for everything else

What other compliance constraints are teams here running into? Always useful to compare patterns.