Use Case
Give AI Agents environment access
Your developers already run coding agents. Those agents can read the code, but not the environment it runs in.
A coding agent can read the whole repository and still have no idea why the service is failing in staging. The answer is in the logs, the config, the running state, the things that only exist in the environment. So the developer becomes a messenger: running commands on the agent's behalf, pasting output back into the session, repeating it until something works.
The shortcut is worse. Handing an agent a set of cloud credentials from a developer's machine gives it everything that developer can do, with no record of which agent did what.
64%
of credentials leaked back in 2022 were still valid when retested in 2026 - standing access does not expire on its own. GitGuardian, 2026
StratoNext provides a trust layer between the agent and your systems. StratoNext allows agents to perform specific tasks in specific environments, based on permissions you configure. The agent can look at the real system and, where you permit it, fix the real system. The developer never has to hand over their keys, and every action the agent takes is attributable to the agent.
How StratoNext handles it
The agent gets its own identity
It never borrows the developer's credentials. Every request is evaluated against the agent, not the person who happens to be running it.
Scoped to the service it works on
The agent reaches only the environment you grant access to. Everything else in the account stays invisible to it.
Read freely, write by approval
Inspecting logs and config in staging can be automatic. Changing production can require a human. You draw the line.
Access ends with the task
Grants are time-boxed, so no long-lived token sits in an agent config waiting to be misused.
Use the agents you already use.
StratoNext doesn't require you to replace your AI coding agent. Connect the agents your team already uses and give them access to the environments they operate. Coding agents. Internal agents. MCP-compatible agents.
Hand your first ops task to an AI agent.
- Connect one environment.
- Define one policy.
- Give one agent scoped access.
- Run one real task.
Free tier. No credit card required.