Faceguard AI: Deepfake Monitor
Protect your digital identity with on-device face detection, biometric encryption, and real-time deepfake monitoring.
Everything you need in one place
Faceguard AI focuses on fast entry, accurate tracking, and exportable documentation.
On-Device Face Detection
Uses Vision framework for real-time face rectangles and feature extraction.
Biometric Encryption
AES-256 encryption of all biometric data using CryptoKit for maximum security.
Similarity Comparison
Core ML powered face embedding generation for precise identity verification.
Background Monitoring
Automated background scanning using BackgroundTasks framework for continuous protection.
How it works
Capture & Scan
Use VisionKit and AVFoundation for high-quality, live camera face capture.
Analyze Locally
On-device Core ML models generate embeddings and compare features without cloud access.
Monitor & Alert
Background tasks and Dynamic Island keep you informed of your facial security status.
Share & Protect
Generate a viral-ready security reel to show your followers your identity is protected.
Monitor Your Dashboard
View your real-time Protection Score, platform status, and recent activity at a glance.
Initiate Deep Scans
Perform full or platform-specific scans, integrate with external search engines, and report suspicious findings.
Review History & Reports
Access a comprehensive log of all scans, filter results, and export detailed PDF evidence reports.
Frequently asked questions about Faceguard AI
- No. Faceguard AI is built with a local-first architecture. All face detection, embedding generation, and similarity comparisons happen strictly on your device.
- It uses the Vision framework and custom Core ML models to analyze facial features and detect anomalies that may indicate deepfake manipulation.
- Yes. All biometric data and face embeddings are encrypted using AES-256 via Apple's CryptoKit framework before being stored in SwiftData.
- Yes. Faceguard AI uses the BackgroundTasks framework to perform periodic scans and alerts you via local notifications if any issues are detected.
- The Protection Score is a dynamic metric based on factors like days since last scan, percentage of platforms checked, and enabled notifications/background scanning. It provides an at-a-glance view of your security posture.
- Faceguard AI integrates with external search engines (like Google Lens, TinEye, Bing Visual Search) to scan major social media platforms including Facebook, Instagram, TikTok, YouTube, LinkedIn, and X/Twitter for your likeness.
- Yes, Pro users can export their full or filtered scan history as a PDF or CSV for record-keeping and evidence.