AI coding agents
Execute generated code in isolated environments while keeping the development system separated from the workload.
SOLUTIONS
Infrastructure for agentic workloads.
Give AI applications a controlled place to execute code, use tools and work with scoped data.
Agent testing
Run repeatable scenarios to evaluate tool calls, generated code and application behavior.
Code execution
Provide applications with a controlled execution layer for workloads that should not run directly on the host.
RAG & data workflows
Connect agents to scoped data sources and services without exposing broader credentials or infrastructure.
Tool-enabled agents
Give agents explicit access to selected APIs and tools rather than unrestricted system access.
AI application development
Prototype, test and refine AI applications before integrating workloads into production systems.
A PRACTICAL BOUNDARY
Trust the application. Isolate the workload.
Workload Vault is designed around the assumption that generated code and agent workloads may be untrusted. Instead of granting them direct access to your environment, place execution behind a controlled boundary.