Online Meeting Deepfake Detection
Safeguard Calls, Protect Your Business with Deepfake Prevention
Combat the rising threat of deepfakes in video conferencing and ensure authentic communication.
The Threat of Deepfakes in Online Meetings
Fraudsters create deepfakes to impersonate individuals (executives, employees, interview candidates), and take advantage. Facia's application safeguards your organisation from deepfake fraud during video call meetings, creating a trustworthy environment.
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AI-Powered Video Meeting Deepfake Detection
Facia uses advanced AI algorithms to detect and neutralise deepfakes in real time, safeguarding your online meetings from deepfake fraud. We analyze video calls for subtle inconsistencies that expose even the most sophisticated deepfakes.
- Multi-level Analysis
- Real-time Detection
- Advanced Anomaly Detection
The Integration Process
Request a demo today and get a live POC to provide integration steps for your enterprise. Get up & running within 24 hours.
DOCKERUse your license key to allow Facia's application to add itself into your meetings.
DOCUMENTATIONYour admin can analyze the number of scans and their results in a user friendly back office.
VERIFIEDReal-Time Deepfake Detection for
Every E-Meeting
Available for :
Why Choose Facia?
- Secure by design. None of your confidential data is used for any other purposes.
- Works passively in the background. No active input required.
- We are the only solution currently offering deepfake detection for virtual meetings.
Online Meeting Deepfake Detection Use Cases
Hong Kong CFO
A Hong Kong finance firm lost $25 million with a single transaction when scammers used a deepfake to impersonate the company's CEO during a Zoom meeting. The deepfake was so convincing it fooled an experienced worker, resulting in a huge financial loss.
CyberArk CEO
An employee used free online tools to create a shockingly realistic deepfake of their CEO: Udi Mokady. The deepfake, showing Mokady casually dressed within his office, was startlingly real, even fooling the CEO himself when revealed in a Teams message.
Binance CCO
Fraudsters exploited Hologram AI to create deepfakes of the Binance CCO, using a familiar face and behavior to build a false sense of security during video conferences. This tactic targeted unsuspecting victims within the crypto sphere.
Corporate Interviews
Ensure that job candidates are physically present and not using deepfake technology to manipulate their identity, protecting companies from hiring fraud.
University interviews
Prevent university admission fraud by verifying that applicants appearing in remote interviews are genuinely present and not using AI-generated deepfake avatars to pretend to be someone else.
Confidential Meetings
Protect sensitive business discussions from intrusions by ensuring that all participants are real individuals and not unauthorized individuals pretending to be someone else.
Ready for a Secure, Deepfake-Free Video Call Experience?
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Frequently Asked Questions
AI tools that use a webcam and GPU-powered softwares are used in real time to generate deepfakes during live calls. Additionally, voice changers can be used to simulate speech, which makes the impersonation more realistic.
Yes. Deepfakes can be used to disrupt or deceive in Zoom meetings just as easily as on other video conferencing platforms. They manipulate the video stream itself, making it difficult for platforms to detect. Attackers might impersonate participants or inject false information.
Keep an eye out for delayed expressions that don't match the audio, lip-synch problems, or strange facial movements. Additionally, keep an eye out for any irregularities or glitches in the background or face lighting.
Facia's proprietary AI technology uses advanced deep learning models like Convolutional Neural Networks (CNNs) to analyse subtle variations that reveal deepfakes.
It also incorporates 3D liveness detection, examining biological markers (like eye movements) that are difficult for deepfakes to replicate.
