Secure your virtual meetings against deepfakes and impersonation.
High-stakes virtual meetings are under attack. Deepface™ verifies both the person and the device in real time — giving you confidence without friction.
Why Deepface Matters Now
Deepfakes and virtual camera attacks can bypass traditional security. Deepface fights them by verifying two critical layers simultaneously:
- The physical camera hardware (unique fingerprint)
- The authorized user’s face is linked to that device
This privacy-compliant solution runs seamlessly during live video calls and gives participants immediate confidence – or clear alerts – without disrupting legitimate conversations.
Key Benefits
- Real-time detection during live meetings
- Hardware-bound verification (resistant to virtual cameras and injected feeds)
- Full user control and consent at every step
- GDPR-compliant by design
- Minimal friction for legitimate users
How Deepface Works
1. Secure Profile Creation
Security begins with the device setup. The security profile is created in two clear steps, which always respect the user’s control and consent and comply with all GDPR requirements.
- The IT department sets up the camera: When a new device is deployed, the Deepface software automatically starts in the background. IT initiates the process, and the app automatically takes several reference photos with the camera. These recordings contain no personal data and can show any subject. From this, the software calculates a unique “camera fingerprint”—an immutable digital signature of the hardware.
- The user links their face: facial recognition is not for login, but it supports the organization’s system. When the user logs in to their device for the first time, the app recognizes their face—again, only with their consent—and simply links this feature to the camera fingerprint already created by IT. This way, the system knows which face typically corresponds to each camera.
2. User Controlled Verification
During a video chat, the user decides when to perform a security check. With a single click, they start the analysis process. The app also obtains consent to record the screen for this purpose.
- The analysis runs in the background: What happens technically remains invisible to the user. The app takes screenshots of the video stream and checks two things: Does the camera match the stored profile? And is the face in the image the same one that normally belongs to this camera?
- No assumptions, only facts: The app does not assume a real person is on the other end. The video feed could therefore also be synthetic. Facial recognition is used solely to identify the person depicted and match them to the known camera owner.
3. Instant Results
The user only receives a message if something is wrong. The app makes a simple decision:
- “Everything is OK”: If the camera and face match the known profile, nothing happens—the communication can continue undisturbed.
- “Warning in case of danger”: If the camera deviates from the expected one or the face does not match the registered camera owner, the user receives a clear warning. This could indicate a deepfake, a virtual camera, or an identity thief. They are prompted to verify their conversation partner’s identity outside the chat (out-of-band communication).
4. Enterprise-Grade Security & Privacy
- Profiles are stored on secure central servers with strict access controls (VPN-only where required).
- All data handling complies with GDPR.
- Users remain fully in control — verification is never automatic or hidden.
Deepface adds a powerful yet simple layer of protection to tools like Zoom, Teams, Webex, and other video platforms.
Ready to Strengthen Your Video Security?
Deepface is ideal for:
- Financial services & banking
- Legal & professional services
- Healthcare & pharmaceuticals
- Government & defense
- Executive teams handling sensitive information
Take the next step toward trustworthy virtual communication. Ready for Deepface?