PromptArmor tested multiple models for cyberattack risk, claiming DeepSeek, Kimi, GLM, and Qwen are more...
AI summary
PromptArmor said it used multiple highly viral attack samples to test cyber risks including phishing, data exfiltration, and propensity to run malware, and that DeepSeek, Kimi, GLM, and Qwen models were 88% more likely to be attacked than GPT, Claude, and Gemini. This conclusion comes from its main tweet; the specific testing methodology and sample size were not explained in the tweet.
Why read this
AI score 52
PromptArmor used its own highly viral attack samples to benchmark multiple models side by side, yielding comparable differences between Chinese and foreign models on cybersecurity risk.
Topics
Body
We tested across multiple cyber risks, including phishing, data exfiltration and propensity to run malware. The differences are shocking! https://t.co/3DpnjZQu4f