AI Wellness Apps Expose Sensitive User Data Due to Security Flaws in Hackathon Projects

During a hackathon organized by Hackathon Raptors, projects focused on AI applications for emotional well-being revealed vulnerabilities that exposed users' sensitive data. Testing highlighted flaws in data storage and transmission mechanisms, including the lack of robust encryption and insecure default configurations. The impacts include unauthorized access to personal information such as voice recordings, mood logs, and behavioral metadata. No specific date or number of affected applications was mentioned. The risks underscore the need to adopt security frameworks tailored to emotional computing applications.