machine learning security

Prompt injection attacks exploit the fundamental inability of LLMs to distinguish instructions from data. This deep-dive examines real attack scenarios, demonstrates why naive defenses fail, and provides practical architectural strategies including dual-model separation, semantic anomaly detection, and tool sandboxing.