Is the person on your
video call really who they say they are?
Deepfake video call fraud is rising fast. DeepGuard monitors your Zoom, Teams, and Google Meet sessions in real time — alerting you the moment a synthetic face is detected.
Works with any video platform — no plugins or meeting bots required
How It Works
No meeting bots, no calendar integrations, no privacy concerns. DeepGuard works entirely through your screen.
Share your screen in DeepGuard
Open DeepGuard's Screen Monitor tab during your Zoom, Teams, or Google Meet call. No plugins or meeting bot required — it works with any video platform.
AI analyzes every participant in real time
DeepGuard captures frames from your screen every few seconds and runs deepfake detection on each visible face. You see a live risk score for each participant.
Get instant alerts when something's off
If a face shows deepfake indicators — unnatural blending, temporal inconsistencies, or GAN artifacts — you receive an immediate on-screen alert with a confidence score.
Real-World Threats We Stop
These aren't hypothetical scenarios. Each of these fraud types is actively occurring at scale.
CEO Fraud & Executive Impersonation
Scenario
A caller on a Zoom call claims to be your CFO, requesting an urgent wire transfer.
DeepGuard Response
DeepGuard detects the deepfake face in real time and alerts you before any action is taken.
$2.9B lost to BEC fraud in 2023 (FBI IC3)
Fake Job Candidates (HR Fraud)
Scenario
A job applicant uses a real-time deepfake filter to impersonate someone else during a video interview.
DeepGuard Response
DeepGuard flags the synthetic face overlay, protecting your hiring process from identity fraud.
1 in 4 remote job interviews now involves identity deception (KPMG 2024)
Legal & Notary Verification
Scenario
A remote notarization requires verifying the signer's identity over video call.
DeepGuard Response
DeepGuard provides a session report confirming no deepfake activity was detected, usable as supporting documentation.
Remote notarization fraud increased 340% since 2021
Media & Press Interviews
Scenario
A journalist interviews a source over video who may be using a deepfake to hide their identity.
DeepGuard Response
DeepGuard verifies the authenticity of the video feed and generates a timestamped verification report.
Deepfake video calls increased 900% in 2024 (Onfido)
Beyond Deepfake Detection: Zero-Trust for Video Calls
Inspired by enterprise security frameworks, DeepGuard Business adds three additional verification layers beyond visual deepfake detection.
Facial Biometric Authentication
Compare the face on the call against a pre-enrolled reference image. Confirms the person is who they claim to be, not just "not a deepfake".
Device Fingerprinting
Verify the hardware signature of the device being used. Flags if the same person joins from an unrecognized device or virtual machine.
Network Intelligence
Detect VPN, Tor, or data center IP addresses that are commonly used to mask the true location of a fraudster.