The Attack That Exploits AI’s Core Design Every serious technology platform eventually acquires its signature vulnerability class. For web applications it was Cross-Site Scripting. For databases it was SQL injection — an attack so consequential that it shaped two decades of application security practice. For large language models, that defining vulnerability has a name: prompt injection. Ranked LLM01 by OWASP — the #1 threat on the OWASP Top 10 for LLM Applications — prompt injection exploits a fundamental architectural weakness: LLMs cannot reliably distinguish between trusted instructions and untrusted data. The comparison to SQL injection is more than rhetorical. SQL injection worked because databases executed user-supplied strings as code, blurring…