Generative AI models, like OpenAI’s ChatGPT, can connect to various personal data sources for providing tailored responses. This capability introduces significant security vulnerabilities. Recent research demonstrated an indirect prompt injection attack, named AgentFlayer, which could extract sensitive information from a Google Drive account via OpenAI's Connectors. The study revealed that such attacks could occur without user intervention, raising concerns about data security as AI models interact more closely with external systems. Increased connectivity among AI models may escalate the risk of exploitation by malicious actors.
The latest generative AI models can connect to data sources, enabling personalized answers. However, this connection risks abuse through indirect prompt injection attacks, as shown in research.
Researchers discovered that a weakness in OpenAI's Connectors allows sensitive data extraction via indirect prompt attacks, as demonstrated by the AgentFlayer attack.
The vulnerability of AI models linked to external systems increases the attack surface for malicious hackers and multiplies potential ways vulnerabilities can be introduced.
'There is nothing the user needs to do to be compromised, and there is nothing the user needs to do for the data to go out,' Bargury says.
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