How Pacibook Uses AI to Enhance User Privacy
AI is often seen as a privacy threat. At Pacibook, we use it as a shield. Learn how local AI models detect threats without exposing user data.
Most social platforms send your content to the cloud for moderation. They scan your images, read your texts, and listen to your audio—all in the name of "safety." Pacibook.com takes a different approach. We believe safety shouldn't come at the cost of privacy.
Client-Side Moderation: The Best of Both Worlds
We run lightweight classification models directly on your device using technologies like TensorFlow.js and WebAssembly. This allows us to detect spam, phishing attempts, and harmful content before it ever leaves your browser.
How It Works
When you draft a message, a local AI model analyzes the text for malicious patterns. If it detects a phishing link, it warns you immediately. This processing happens entirely in your RAM. The raw data is never sent to our servers. This means your private messages remain truly private—not even our engineers can see them.
The Future of AI in SaaS
This architecture represents the future of AI in SaaS: intelligence at the edge, protecting the core. It reduces our server costs, improves latency for the user, and most importantly, preserves the fundamental human right to privacy. It's a win-win-win scenario that challenges the status quo of centralized surveillance.