Isolated execution
Run untrusted code and AI-generated workloads in environments separated from your surrounding application.
Give AI agents the compute, tools, data and execution environments they need — without giving untrusted workloads direct access to your infrastructure.
7 days free. No credit card required. Continue only if you choose a paid plan.
$ vault sandbox create
runtime: python-3.12
network: controlled
filesystem: isolated
$ vault workload run agent.py
status: running
tools: 3 allowed
data: scoped
isolation: active
✓ workload completed
Execute untrusted code, test agent workflows and connect controlled tools and data inside isolated environments designed for AI workloads.
Run untrusted code and AI-generated workloads in environments separated from your surrounding application.
Give agents controlled access to APIs, services and tools through explicit permissions.
Connect the data an agent needs while keeping access boundaries explicit and auditable.
Create repeatable environments for evaluating agent behavior, generated code and application workflows.
Provision an isolated execution environment.
Define tools, data, network and resource permissions.
Execute the agent workload inside the boundary.
Inspect execution status, logs and resource usage.
Choose the lifecycle that fits your workflow.
AI agents can generate code, execute commands and interact with external systems. Workload Vault provides a controlled execution boundary so you can experiment without treating every generated workload as trusted.
See our security approach →No credit card. No payment during the trial. Upgrade only when you decide to keep using the service.