This is a submission for the Google I/O 2026 Writing Challenge Everyone's excited about Gemini in Firebase. Almost nobody's talking about how to secure it. That's a problem. Firebase AI Logic lets you call Gemini directly from your client app—no backend server needed. That's powerful. It's also dangerous. The moment you put an AI endpoint on the internet, you've created an attack surface that most developers haven't thought through. Google clearly knows this. Buried in the I/O announcements, they quietly shipped three security features for Firebase AI Logic that deserve way more attention than they're getting. Let me break down why they matter, how they work together, and why one of them should probably be on by default. The Problem Your AI Features Have Right Now Here's what a typical Firebase AI Logic integration looks like: val model = Firebase . ai . generativeModel ( "gemini-2.5-flash" ) val response = model . generateContent ( userInput ) Enter fullscreen mode Exit fullscreen mode Simple. Clean.…