X-PHY Deepfake Detector
X-PHY Deepfake Detector is an AI-powered cybersecurity solution engineered to detect manipulated media, including videos, images, and audio, in real time without needing an internet connection or external database. Designed for enterprise environments and built under X-PHY’s trusted cybersecurity R&D framework, it offers a zero-trust approach to media verification at the device level.
Core Capabilities
• Multi-Modal Detection
Analyzes facial micro-expressions, voice fingerprints, and media artifacts using embedded AI to detect deepfakes across image, video, and audio formats.
• Temporal & Spatial AI Analysis
Neural networks scan for visual and audio inconsistencies, catching even the subtlest signs of synthetic manipulation.
• Zero-Trust Scoring Engine
Every media file receives a dynamic risk score, enabling automated threat response via integration with your existing SIEM or cybersecurity workflows.
Why X-PHY Deepfake Detector is Technically Unique
• No External Database Needed
X-PHY Deepfake Detector identifies GAN-based manipulation patterns without comparing to external deepfake samples, making it ideal for air-gapped environment.
• Embedded, Lightweight AI
Built on optimized neural networks to run efficiently on any device with offline support and minimal resource consumption.
• Continuously Updated Models
Trained on the latest GAN-generated content to stay ahead of evolving attack methods.
• Enterprise-Ready Integration
Works natively with existing cybersecurity infrastructure to enhance incident response and threat mitigation.
Ideal For:
• Cybersecurity teams seeking on-device deepfake detection
• Government & defense agencies in air-gapped environments
• Enterprises requiring real-time media verification
• Anyone adopting a zero-trust approach to content security
Stop relying on cloud-based deepfake databases. Detect deception without your media leaving your device.
