# NVIDIA — AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack

- Company: NVIDIA (nvidia.com)
- Announced: 2026-09-21T14:51:34+00:00
- Category: safety-policy-update
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://blogs.nvidia.com/blog/ai-security-agent-stack/
- Record: https://forck.live/items/12716-ai-security-is-an-engineering-problem-how-to-solve-it-at-every-layer-of-the
- Subject: AI platform

NVIDIA outlines an engineering approach to AI agent security, emphasizing that protection requires enforceable controls across the full agent stack—models, harnesses, runtime environments and infrastructure. The company describes security responsibilities at each layer, including identity management, access control, sandboxed execution and audit logging, and introduces OpenShell, an open-source secure runtime that enforces policies outside the agent's reach while governing access to data, network and system resources.

## Evidence

Verbatim from https://blogs.nvidia.com/blog/ai-security-agent-stack/:

> Security depends on how those components work together — and AI agents extend that system. Models provide capabilities; harnesses organize context, tools and workflows; and runtime environments provide the infrastructure within which actions execute. Each part of that stack carries security responsibilities, and proper protection requires controls across each layer, as data, instructions and actions move through the system.

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Record: https://forck.live/items/12716-ai-security-is-an-engineering-problem-how-to-solve-it-at-every-layer-of-the
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