The integration of Artificial Intelligence (AI) into behavioral analytics has advanced the identification and interpretation of latent traits that influence observable human behavior, enabling deeper insights into the underlying psychological and neurological processes. However, these advancements introduce significant security and privacy concerns, as the same techniques can also be leveraged by remote adversaries to infer psychological vulnerabilities, predict decision-making tendencies, and manipulate behavior through hyper-personalized content, persuasive messaging, or exploitative interventions. This paper examines the emerging threats posed by AI-driven digital phenotype analysis when exploited by sophisticated adversaries with access to digital data. As an example, we demonstrate how speech rate can be linked to a psychiatric condition known as mania and discuss its potential misuse in phishing attacks. Our work highlights the need for robust privacy protections, the implementation of ethical AI practices, and the development of comprehensive regulatory frameworks to safeguard individuals in an increasingly interconnected digital ecosystem.