How to design networking for secure AI-agent sandboxes
Blog post from Northflank
Secure AI-agent sandbox networking requires more than microVM-based compute isolation because isolated workloads can still exfiltrate data, probe internal services, access metadata endpoints, or contact unauthorized infrastructure through unrestricted network access. The recommended approach is minimum-privilege connectivity enforced independently of the agent through default-deny egress, explicit destination allowlists based on hostnames, IPs, ports, and protocols, DNS restrictions that prevent domain-based bypasses or exfiltration, and private VPC paths for accessing internal applications, databases, and queues. Multi-tenant deployments should apply distinct policies by tenant, project, and environment to prevent cross-tenant or development-to-production access, while denied connection logs can reveal prompt injection, malicious dependencies, or policy misconfiguration. The text cautions against unrestricted internet access, public exposure of internal services, treating VPC membership as blanket authorization, and overlooking DNS controls, and it presents Northflank as a platform offering isolated sandbox runtimes, configurable egress policies, private connectivity, secrets management, enterprise governance, and BYOC or forward-deployed options for operating sandboxes within customer cloud infrastructure.
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