DeepSeek DeepSeek-V3.2 Thinking: LLM Security & Jailbreak Resistance
As of 2026-07-04, DeepSeek DeepSeek-V3.2 Thinking has an attack success rate (ASR) of 42.0% on Guardion's LLM Vulnerability benchmark — ranking #62 of 93 models. It is weakly resistant — adversarial prompts succeed often without added guardrails.
Attack Success Rate (ASR) is the share of adversarial prompts that elicit harmful output across zero-shot, TAP, and Crescendo attacks (HarmBench framework). Lower is safer. "Est." models are calibrated from public safety evaluations pending a Guardion benchmark run.
How DeepSeek-V3.2 Thinking compares
Frequently asked questions
How secure is DeepSeek DeepSeek-V3.2 Thinking against jailbreaks?
DeepSeek DeepSeek-V3.2 Thinking is weakly resistant — adversarial prompts succeed often without added guardrails. On Guardion's LLM Vulnerability benchmark it records a 42.0% attack success rate (58% robustness), ranking #62 of 93 models (estimated from public safety evaluations).
What is DeepSeek-V3.2 Thinking's attack success rate (ASR)?
DeepSeek-V3.2 Thinking's overall ASR is 42.0% — the share of adversarial prompts that elicit harmful output across zero-shot, TAP, and Crescendo attacks. Lower is safer.
Is DeepSeek-V3.2 Thinking more secure than DeepSeek-R1-0528?
DeepSeek-R1-0528 is more robust: 41.0% ASR vs DeepSeek-V3.2 Thinking's 42.0%. See the full head-to-head comparison for the per-attack breakdown.
How can I make DeepSeek-V3.2 Thinking safer to deploy?
Even robust models are bypassed under sustained attack. An inline runtime guardrail that classifies prompts and responses — like Guardion's prompt-defense models — blocks jailbreaks and prompt injection before they reach DeepSeek-V3.2 Thinking.
Harden DeepSeek-V3.2 Thinking in production
Guardion's runtime guardrails block jailbreaks and prompt injection before they reach any model — with sub-130ms policy decisions.
Request a demo