Over 184,000 Ray AI Dashboards Found Exposed Online Without Security Measures

The article exposes a critical vulnerability in Ray dashboards, revealing that over 184,000 of them are publicly accessible without any authentication or access control. This significant oversight poses a serious risk, as attackers could potentially execute remote code, steal sensitive information, or seize control of AI infrastructure. The author emphasizes that this issue reflects a wider systemic failure in deploying AI infrastructure rather than merely a misconfiguration. To mitigate these risks, the article suggests best practices for securing dashboards and increasing awareness among teams. The author invites feedback and experiences from others who may have encountered similar security breaches, highlighting the urgent need for improved security measures in AI-related technologies.

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