In the realm of AI security, prompt injection has become the primary threat as large language models cannot distinguish between legitimate user instructions and malicious commands hidden in emails, source code, or other third-party content. This flaw allows attackers to easily inject commands that the model follows.
Without a way to enforce boundaries between trusted and untrusted inputs, developers rely on guardrails to mitigate damage rather than fix the root cause. Currently, most prompt injections are “push” attacks that target individual victims, limiting the scale of mass exploits across the internet.
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