What it Really Takes to Be Air-Gapped: Inside the Architecture of Secure AI Development

When evaluating AI code assistants, security requirements can’t be an afterthought. This episode unpacks what it really takes to run AI securely in restricted environments — from SCIFs and DoDIN enclaves to ITAR workflows and sovereign VPCs. We explain why most AI code assistants fall short with cloud inference, silent updates, and hidden telemetry, and how Tabnine overcomes these gaps with local inference, transparent agents, and more.