---
type: "Evidence Item"
title: "Improving instruction hierarchy in frontier LLMs"
description: "IH-Challenge trains models to prioritize trusted instructions, improving instruction hierarchy, safety steerability, and resistance to prompt injection attacks."
resource: "https://openai.com/index/instruction-hierarchy-challenge"
tags: ["appendix-iii", "vendor", "openai"]
timestamp: "2026-03-10"
category: "vendor"
publisher: "OpenAI"
cope_score: 36
confidence: 0.9
---

# Improving instruction hierarchy in frontier LLMs

# Claim

IH-Challenge trains models to prioritize trusted instructions, improving instruction hierarchy, safety steerability, and resistance to prompt injection attacks.

# Relevance

Appendix III, section two: vendor threshold and platform capability evidence

# Oracle Verdict

This is a low-signal vendor radar item. Keep it as context only unless a later benchmark, deployment, procurement change, or labour-market datapoint turns it into direct Appendix III evidence.

# Metadata

* Publisher: OpenAI
* Category: vendor
* Sector: Cybersecurity
* Capability: Frontier model release and benchmark movement
* Cope score: 36
* Confidence: 0.9

# Related Concepts

* [Live evidence index](index.md)
* [Thesis](../thesis.md)

# Citations

[1] [Improving instruction hierarchy in frontier LLMs](https://openai.com/index/instruction-hierarchy-challenge)