Zero data egress

Zero data egress is a design constraint, not a feature. It states that every component touching sensitive data, the model, the vector store, the logging pipeline and the evaluation harness, runs inside a boundary you control, and that no outbound network path carries that data to a third party. It is enforced at the network layer with egress rules, not by policy documents alone.

It is stricter than "we use a private endpoint" or "the vendor signed a DPA". Those arrangements still move data outside your perimeter under contract. Zero egress means the data physically stays. In practice this covers obvious paths like model API calls and less obvious ones like error-tracking SDKs, analytics beacons, and embedding services that quietly ship text to a hosted endpoint.

The constraint shapes the whole stack: self-hosted models, an in-VPC vector database, local observability, and a build pipeline whose artefacts are pulled in rather than data being pushed out. Verifying it means reviewing egress rules and traffic logs, not just architecture diagrams.

• CISO: a testable boundary that can be verified with firewall rules and flow logs, rather than a vendor promise.
• Compliance officer: simplifies data-transfer questions under DPDP, GDPR and RBI outsourcing guidelines because there is no transfer to justify.
• CTO / Head of Engineering: forces early architecture decisions on hosting, observability and model choice that are costly to reverse later.
• Founder / CEO: a credible answer for enterprise procurement teams who ask where their data goes.

The term exists because "private AI" had become too vague to mean anything. Vendors described hosted APIs with contractual protections as private, while buyers in banking and healthcare needed a stronger guarantee they could demonstrate to auditors. Zero data egress names the strict version: nothing leaves. The cost is that you forgo hosted frontier models, hosted vector databases and most SaaS observability tools, and you must maintain the whole stack yourself. For many mid-size companies the pragmatic route is zero egress for the sensitive workload and hosted services for everything else, with a clear line between the two.

• A private bank running customer-communication drafting entirely inside its data centre, with egress rules that block all model-provider domains.
• A hospital network processing patient notes on in-network GPUs with logs and traces stored locally.
• A SaaS vendor offering a single-tenant, no-egress deployment tier for regulated enterprise customers.
• An insurer keeping claims documents and extracted fields within its VPC while still using AI for triage.
• A payments company evaluating models with production data inside the perimeter, then deploying the chosen one in the same boundary.

ConceptAn architectural constraint that drives many downstream technique choices. Eazyware designs and verifies no-egress deployments under Private Agentic AI, including the network rules and evidence a security review will ask for.

Eazyware service that covers it: Agentic AI Solutions (self-hosted). Starting prices are on the pricing page.