9 Sources of Security & Privacy Threats in LLM Agents
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Summary
As LLMs continue to evolve, so too do the potential vulnerabilities and malicious attacks that can impact them.
In recent years, researchers have identified a number of common areas of concern, including hallucinations, catastrophic forgetting, and misunderstanding, as well as malicious attacks involving data extraction, inference, and knowledge poisoning.
While these are well-known issues, a recent survey has highlighted the importance of considering these risks in the context of LLM agents, which have autonomous planning functions, tool use, memory and real-world interactivity that could increase their impact.
In particular, the report notes that attackers may exploit these functions to create backdoors via prompt injection and jailbreaking, with potentially serious implications for users of these agents.
The report urges greater caution and more robust security testing to mitigate these risks.