The six-chapter report, titled The Weaponization of Personalization, details how systems once intended to suggest products now construct comprehensive intelligence profiles. According to Kia Hakimi, a partner at the Edina-based firm, the same data that identifies a user's shopping preferences can just as easily pinpoint what a person will believe and when their decision-making is most susceptible to manipulation.
The investigation highlights a shift from passive recommendation to active behavioral influence. By examining how agentic AI and physical-world inference expand these capabilities into sectors like finance and insurance, the series suggests that the current digital ecosystem operates on a model where trust itself is a primary attack surface. This latest work follows a May 2026 study by the group, which explored the industrialization of AI-driven deception. Both reports aim to expose how the mapping of human trust relationships creates risks that remain largely invisible to the average user, who often lacks the tools to control or limit these deep-reaching data profiles.

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