Securing a retail AI endpoint from abuse for virtual try on
Blog post from Firebase
As of August 2026, Vertex AI is called Agent Platform, and the example demonstrates how Firebase can protect a costly AI-powered virtual try-on feature that generates outfit images using the nano banana image model. It recommends combining Firebase App Check to verify requests originate from legitimate app clients, limited-use App Check tokens that are consumed server-side to prevent replay attacks, Firebase Authentication to restrict access to authorized users, and per-user rate limiting to cap inference requests over an hour. The server accepts only a product SKU rather than user-supplied images or prompts, then retrieves the shopper profile image, product image, and predefined product prompt itself, reducing misuse and prompt-injection risks. The implementation also reuses previously generated images when available, stores outputs in Cloud Storage, validates product data, and returns user-facing errors for unauthenticated requests, consumed tokens, missing resources, quota violations, or failed image generation.
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