Modern cyberattacks increasingly manipulate users into performing harmful actions themselves. Existing security systems mainly detect what users do, but not the intent behind their actions. We propose an AI-based system that analyzes user behavior, communication, and action sequences to detect socially engineered or manipulated activities. It will identify suspicious patterns, calculate a risk score, and alert users before serious damage occurs.
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