Prompt injection is not SQL injection (it may be worse) (www.ncsc.gov.uk)

Prompt injection, a term introduced in 2022, describes a critical vulnerability in generative AI applications where developers merge their own instructions with untrusted inputs, allowing the model’s response to be influenced by potentially harmful content. Unlike traditional security flaws such as SQL injection, prompt injection poses a more fundamental issue: current large language models (LLMs) do not adequately enforce a security boundary between user instructions and input data within a single prompt. As a result, this vulnerability has become a significant concern, being recognized by the OWASP as the top risk in developing and securing genAI applications. This distinction between prompt injection and SQL injection is crucial for the AI/ML community, as misunderstandings may lead to ineffective security measures. Security experts often misidentify prompt injection as merely a variant of SQL injection, which could undermine the efficacy of defenses. The blog highlights the urgent need for tailored strategies to combat this emerging threat, emphasizing that the unique mechanics of prompt injection require a different approach to risk mitigation, thereby safeguarding the integrity of generative AI systems.