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title: Would You Give an AI Agent Read-Only Access to Production?
description: A discussion question is posed to DevOps and platform engineers about how much production access AI agents should be given, starting with read-only log and...
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# Would You Give an AI Agent Read-Only Access to Production?

**[DevOps & Platform Engineering Hub](https://daily.dev/sources/sanjay)** · [@divyansh30](https://daily.dev/divyansh30) · 1 min read · 1 upvotes · 0 comments

## Summary

A discussion question is posed to DevOps and platform engineers about how much production access AI agents should be given, starting with read-only log and infrastructure checks. It links to a write-up describing a real setup for using a read-only AI agent for DevOps lookups and first-pass incident investigation, covering access controls, command restrictions, prompt injection risks, budgets, and audit logs, then opens the floor for opinions on where to draw the line between investigation and making changes.

## Content

I've been seeing more people experiment with AI agents for DevOps work, especially for checking logs, looking through infrastructure, and helping with incident investigation.

The part I'm still unsure about is how much access we'd actually want to give them.

Read-only access feels reasonable. But what happens when the agent starts suggesting fixes, or eventually wants to make changes itself?

I'm curious what other DevOps and platform engineers think:

- Would you give an AI agent read-only access to production?
- What would you let it check on its own?
- Where would you draw the line between investigation and making changes?
- Would you ever allow an AI agent to make a production change without approval?

I came across this write-up about using a read-only AI agent for DevOps lookups and first-pass incident investigation. It also talks about access controls, command restrictions, prompt injection, budgets, and audit logs.

[https://www.kubeblogs.com/ai-agent-for-devops-what-actually-worked/](https://www.kubeblogs.com/ai-agent-for-devops-what-actually-worked/)

Where would you draw the line with AI agents in your own production environment?

#DevOps #PlatformEngineering #AIOps #DevSecOps #CloudSecurity #AI

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---

Tags: [#devops](https://daily.dev/tags/devops), [#ai-agents](https://daily.dev/tags/ai-agents), [#prompt-injection](https://daily.dev/tags/prompt-injection)

[View this post on daily.dev](https://daily.dev/posts/would-you-give-an-ai-agent-read-only-access-to-production--lfvoohrmg)

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