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title: How safe are gpt-oss-safeguard models? | daily.dev
description: Cisco researchers evaluated the security posture of OpenAI&#x27;s gpt-oss and gpt-oss-safeguard models (20b and 120b variants) against adversarial prompt injection...
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# How safe are gpt-oss-safeguard models?

**[Cisco](https://daily.dev/sources/cisco)** · 7 min read · 1 upvotes · 0 comments

## Summary

Cisco researchers evaluated the security posture of OpenAI's gpt-oss and gpt-oss-safeguard models (20b and 120b variants) against adversarial prompt injection and jailbreak attacks. Key findings: multi-turn attacks are the dominant threat, causing attack success rates to jump 5x–8.5x compared to single-turn attacks across all variants. The 120b standard model showed the strongest single-turn resilience, while safeguard variants sometimes introduced exploitable complexity. Model size proved a stronger predictor of baseline resilience than safeguard tuning. Since these are open-weight models, anyone can deploy them in chat settings regardless of OpenAI's intended use case. The analysis recommends a defense-in-depth approach including real-time monitoring, content filtering, rate limiting, and continuous red-teaming rather than relying on model selection alone.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blogs.cisco.com/ai/how-safe-are-gpt-oss-safeguard-models>

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---

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

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