Guardyx for DevOps Automation

Let agents run your infrastructure, without letting one command take down prod.

The scenario

AI agents are taking on real DevOps and SRE work. They deploy code, change infrastructure and config, manage cloud resources, and respond to incidents, running actual commands against production.

Approval requested

Held for a human before it runs.

High riskPending

Agent: DevOps Bot
Tool: GITHUB_MERGE_A_PULL_REQUEST

Arguments

{
  "repo": "acme/payments-api",
  "pull": 1482,
  "base": "production"
}

Policy

A production change: approval required.

What can go wrong

A DevOps agent fires off a destructive command against prod: it deletes a resource, drops a database, or fumbles an access change. You’ve got an outage or data loss in seconds. It might also escalate privileges, disable a security control, or spin up expensive infrastructure it had no business creating. In infra, one wrong automated move hits both uptime and the budget immediately.

Who owns this problem

Your VP of Engineering, Head of Platform, or SRE lead owns this day-to-day. Your CISO is accountable for what changes in production and to security controls.

What it looks like deployed

Guardyx sits in front of every action a DevOps agent takes. The safe, in-policy stuff runs on its own. The scary stuff (destructive commands, production changes, privilege or security-control tweaks) gets checked and held for a human before it runs. Every command is logged.

DevOps agent calls a tool. Guardyx checks the action against your policy before it runs: in-policy actions run command against production infrastructure; exceptions hold for approval. Either way the decision is recorded.

Where held actions wait: each one with its risk, its agent, and the call it tried to make.

What you're covering

You get a hard stop on dangerous commands reaching prod without a human. You don’t have to turn off automation or review every routine task by hand. Agents carry the safe operational load; your engineers only weigh in on the handful of actions that could actually break something.

How it fits your existing tools

Approvals show up in the Guardyx portal, Slack, or email, wherever your on-call team already works. Every command is captured as an exportable, auditor-ready evidence pack. You decide what counts as high-risk, which environments need a sign-off, and how emergencies get handled. Exception paths keep incident response from ever slowing down.

The approver sees the agent, the call, and the agent's own reason for it, marked unverified.

Every decision lands in the run record you export as evidence.

Example controls

A quick, plain-language picture of the policy decisions you'd set:

Allow: Safe, in-policy operations (non-prod deploys, read-only checks).
Hold for a human: Production changes, privilege changes, or spinning up costly resources.
Deny: Destructive commands, disabling a security control, or touching an out-of-scope environment.

Without Guardyx / With Guardyx

The exposure today, next to the controlled state with Guardyx
Without Guardyx	With Guardyx
One destructive command can take down prod in seconds.	High-risk commands are held for a human before they run.
You either slow everything down or risk everything.	Safe ops run automatically; only risky ones need approval.
Change history is scattered across systems.	Every command is recorded and reviewable.

Without: One destructive command can take down prod in seconds.
With Guardyx: High-risk commands are held for a human before they run.
Without: You either slow everything down or risk everything.
With Guardyx: Safe ops run automatically; only risky ones need approval.
Without: Change history is scattered across systems.
With Guardyx: Every command is recorded and reviewable.

The routine clears in one move; only the risky calls wait for a person.

See all seven use cases