
The vulnerabilities expose a fundamental security gap in LLMs that could be weaponized for data theft and misinformation, prompting urgent hardening of AI defenses across the industry. Their persistence across model generations signals that prompt‑injection risks must be addressed before broader enterprise adoption.
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