Overview
Guardyx AI is the runtime control layer for autonomous AI agents. It sits between your agent frameworks and your enterprise systems. It governs every tool call an agent makes — applying policy, approvals, audit, and observability — without requiring you to rewrite your agents.
The runtime path
Section titled “The runtime path”Every governed tool call moves through the same path:
- Intercept — route the tool call through Guardyx before it executes.
- Evaluate — run policies using context like user, tool, payload, and risk.
- Approve — require human approval for sensitive actions.
- Trace — capture inputs, decisions, and outcomes for every run.
- Execute — perform the action only after policies and approvals pass.
Where Guardyx fits
Section titled “Where Guardyx fits”Guardyx governs the runtime path agents use to act — not the paperwork around your company’s compliance posture. It is not a governance, risk, and compliance (GRC) or compliance-workflow product. There are no questionnaires, no evidence collection, and no trust-center automation. Vanta and Drata help govern the company’s compliance posture. Guardyx AI helps govern the agent’s runtime behavior.
Next steps
Section titled “Next steps”- Quickstart (MCP client) — govern an existing MCP client with a config change.
- SDK integration — wrap a custom Python agent.