Researchers have identified new vulnerabilities in large language models (LLMs) that allow adversaries to exploit web search tools and indirect prompt injection techniques for data exfiltration from corporate networks. This matters because it highlights significant security weaknesses in LLMs, which are increasingly used for complex tasks like web searches and dynamic workflows, making them targets for sophisticated cyberattacks. Developers should focus on implementing stronger training procedures and a centralized database of attack vectors to protect against these evolving threats.
Read the full article at arXiv cs.CR (Cryptography & Security)
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