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Prompt injection attacks exploit inherent vulnerabilities in large language models (LLMs) by blurring the line between data and instructions. Unlike traditional code injection threats such as SQL injection, these attacks may never be fully mitigated due to fundamental AI design. The UK National Cyber Security Centre (NCSC) highlights that organizations relying on LLMs need to reassess risk management strategies, focusing on risk reduction rather than elimination. This issue is critical for developers integrating AI into applications, as failure to address prompt injection risks could lead to widespread breaches similar to past SQL injection epidemics. This could reshape how we secure AI-driven systems moving forward.