As AI becomes increasingly integrated into apps and user workflows, Android developers face new security challenges—from AI-driven phishing to potential data leaks and misused ML models. In this roundtable, we’ll discuss practical ways to spot AI-related risks, apply security best practices, and defend apps against emerging threats. Participants will share strategies, tools, and lessons learned for keeping Android apps secure in an AI-driven landscape. Kick-off questions: > What AI-driven security threats have you encountered or are most concerned about in Android apps? > How do you integrate traditional Android security measures (like OAuth or biometrics) with AI-specific risk considerations? > What tools or techniques have you found effective for quickly scanning code for AI-related vulnerabilities? > How can developers safely integrate ML models without introducing new security risks? > Do you think AI-specific threats will fundamentally change how we approach Android app security, or just add another layer to existing practices?