What is Zero Trust Architecture
A security model that assumes no user, device, or network is trusted by default.
Definition
Zero Trust Architecture is a security model that assumes no user, device, or network is trusted by default. In practical AI work, it helps teams connect a concept to data, model behavior, product choices, evaluation, and risk. The useful question is not only what the term means, but how it affects quality, cost, reliability, safety, and decisions in a real workflow.
Example
A company requires every service request to be authenticated and authorized even inside its own network.
Why it matters
Zero Trust Architecture matters because a security model that assumes no user, device, or network is trusted by default can change how teams build, evaluate, choose, or govern AI systems. It affects cost, reliability, latency, security, and how easily an AI feature can move from a demo to production.
How it works
Teams connect data, compute, model artifacts, libraries, monitoring, access control, and deployment tools into a repeatable workflow. For Zero Trust Architecture, the key is to connect the definition with inputs, assumptions, measurable outcomes, and deployment limits.
Where it is used
- Used in model training, inference, data processing, deployment, evaluation, monitoring, and developer tooling.
Limitations
Infrastructure choices can lock teams into particular costs, vendors, latency profiles, security constraints, or operational complexity.