Meta's AI Assistant Builds Comprehensive Dossiers on Users' Social Connections

Meta's Muse AI agent has gained millions of users who grant it access to personal data including banking, messages, and health information. Security researchers discovered that Muse creates detailed profiles of every person in a user's social network by collecting and organizing relationship data on an hourly basis. The system uses these profiles to make suggestions about relationships and activities, raising questions about privacy implications given Meta's existing access to social network information.
Muse operates by systematically building and updating relationship dossiers through continuous data collection. The system organizes information into structured categories covering personal details, relationship history, shared experiences, and suggested ways to strengthen connections. Security researchers discovered these capabilities by accessing Muse's internal instructions, revealing the hourly process by which the AI compiles and categorizes data about users' social networks. The system is designed to populate these profiles incrementally, starting sparse and expanding as more information becomes available through user interactions and connected data sources.
The development raises particular concerns given Meta's existing infrastructure. The company already possesses extensive social network mapping through its platforms and now gains additional insight through direct access to users' banking, messaging, and health information via Muse. This combination enables substantially deeper relationship profiling than previously possible, creating centralized records that extend beyond what users knowingly share on social media to include private communications and financial patterns.
The emergence of comprehensive social profiling by AI assistants could reshape privacy expectations and power dynamics in digital relationships. Users seeking convenience through AI helpers may not fully anticipate how relationship data gets aggregated and used. This development may particularly concern those who haven't explicitly considered that granting financial or health access simultaneously grants access to relationship mapping. The pattern could influence how individuals manage information sharing, institutional trust in tech companies, and regulatory approaches to AI-mediated data collection across multiple personal domains.