Mitigating Risks in LLMs: Addressing Prompt Injection and Excessive Agency

 The article discusses the risks of excessive agency and prompt injection in large language models (LLMs). As LLMs gain more abilities, such as sending emails or deploying code, excessive agency can arise when these models perform unintended actions. Prompt injection attacks occur when specially crafted inputs manipulate models to bypass instructions, potentially leading to security risks like privilege escalation or server-side request forgery. The article stresses the importance of securing LLMs through proper validation, limiting access, and applying the principle of least privilege to reduce these risks.

https://www.kroll.com/en/insights/publications/cyber/llm-risks-chaining-prompt-injection-with-excessive-agency

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