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Protecting The Virtual Communication Layer in Real-time
Stop deepfakes and impersonation before the first word is spoken.


 Truly authenticates the Identity, Device Fingurepring, and Network Provenance of every external meeting participant in real-time.

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Harden your virtual perimeter against synthetic identity fraud

Secure your organization’s most vulnerable attack surface: the video call.

Truly seamlessly integrates across your communication stack such as Zoom, Teams, Google Meet, and WebEx to enforce Zero-Trust protocols on every interaction.

Our engine moves beyond simple detection, utilizing Facial Biometric Authentication and Hardware Provenance (Camera ID, Device Fingerprinting, and Network Intelligence) to neutralize social engineering and deepfake threats at the source.
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Digital Forensic Intelligence

 

Biometric Identity

Real-Time Facial Authentication to prevent Identity Swapping and high-end deepfake injections.

Hardware Integrity

Instantly flags Virtual Cameras, emulators as well as use of suspected hardward used by fraudulent participants.

Network Intelligence

Neutralizes Location Spoofing. Flags "local" participants who are actually connecting from high-risk regions or VPNs.

Trusted By

 

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Prex

"In a world where seeing is no longer believing, businesses need robust protection to guard against the risks of manipulation and misinformation."

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Amy Brisbane
Deputy CISO, MoneyAL Inc.

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Frequently Asked Questions

Learn more about how our tool detects deepfakes and how you can use it effectively.

How does Truly detect deepfakes in real-time?

Truly uses a proprietary multi-model detection engine that analyzes audio, video, and behavioral signals in real-time during video calls. It flags synthetic voices, face-swapped video feeds, and pre-recorded deepfakes—providing results within seconds.

Which platforms does Truly support?

Truly integrates with major video conferencing platforms, including Zoom, Microsoft Teams, Google Meet and WebEx. We also offer API access for embedding detection into custom environments or third-party systems.

What types of deepfakes can Truly detect?

Truly detects a wide range of deepfakes:

  • Real-time face and voice manipulations

  • Pre-recorded or pre-generated deepfake videos

  • Synthetic voices in phone calls or virtual meetings

  • Anomalies in speech or behavior patterns

What happens when a deepfake is detected?

You receive a detailed alert via email, our web dashboard, or your SIEM system (if integrated). Alerts include confidence scores and annotated video evidence indicating which participant was flagged.

How accurate is Truly’s detection engine?

Our models are trained on large, diverse datasets and continuously updated to adapt to evolving threats. Truly delivers high-accuracy detection with a low false positive rate—validated across real-world enterprise scenarios.

Is participant privacy protected?

Yes. Truly is privacy-first by design. We never store raw audio or video data unless explicitly authorized. Detection happens in secure environments, and all results are shared only with authorized users within your organization.