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title: Layered sandboxing for AI agents: OpenShift and OpenShell
description: AI coding agents require shell access, file I/O, and network calls — the same capability profile as a compromised workload. No single sandbox technology covers...
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# Layered sandboxing for AI agents: OpenShift and OpenShell

**[Red Hat Developer](https://daily.dev/sources/rhdev)** · 9 min read · 0 upvotes · 0 comments

## Summary

AI coding agents require shell access, file I/O, and network calls — the same capability profile as a compromised workload. No single sandbox technology covers the full threat surface. This post explains how combining NVIDIA OpenShell (application-layer egress filtering, filesystem isolation via Linux Landlock) with Red Hat OpenShift sandboxed containers (Kata Containers, hardware VM-level kernel isolation) creates complementary defense layers. OpenShell blocks data exfiltration and prompt injection attacks at the network proxy level, while Kata Containers prevents kernel exploits and cross-container page cache corruption by giving each pod its own guest kernel. Testing on OpenShift 4.21 with two real attacks — a prompt injection exfiltration and CVE-2026-31431 (a page cache corruption exploit) — showed that only the dual-protected pod blocked both. Each attack succeeded against the pod missing its corresponding protection layer.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://developers.redhat.com/articles/2026/07/16/layered-sandboxing-ai-agents-openshift-and-openshell>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#containers](https://daily.dev/tags/containers), [#openshift](https://daily.dev/tags/openshift)

[View this post on daily.dev](https://daily.dev/posts/layered-sandboxing-for-ai-agents-openshift-and-openshell-lekdk6l8t)

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