Video Calls Deepfake Prevention
Secure, Deepfake Free Video Call Experience
Facia safeguards your meetings with a real-time deepfake detection solution. Combat the rising threat of deepfakes in video conferencing and ensure authentic communication.
AI-Powered Deepfake Detection Tool
Facia uses advanced AI algorithms to detect and neutralise deepfakes in real time, safeguarding your video communication from manipulation. Unlike traditional security measures, Facia analyses video streams for subtle inconsistencies that expose even the most sophisticated deepfakes.
- Real-Time Deepfake
- Multi-Level Analysis
- Advanced Anomaly Detection
- Zero-Trust Security
The Deepfake Hazard in Video Communication
Fraudsters create deepfakes to impersonate key individuals (executives, employees, or clients), and pose a serious threat to the authenticity of video conferencing.
Facia's advanced deepfake detection technology safeguards your organisation, from video stream manipulation during video call meetings creating a trustworthy environment.
Redefine Your Video Conferencing
Facia redefines video conferencing by integrating comprehensive, stringent security measures which include the following:
- 3D Liveness Detection
- Emotion & Engagement Analysis
- Customization and Accessibility
- Seamless Integration (Zoom and Microsoft Teams)
Unlock Deeper Engagement with Emotion Recognition
Discover a new interaction layer through Facia's emotion and gesture recognition capabilities, powered by advanced computer vision.
- Analyses facial expressions and body language for improved engagement
- Leverage machine learning for dynamic, real-time emotion detection
- Enhances participant engagement by interpreting gestures during video meetings
Why Choose Facia?
At Facia, we believe in the power of responsible AI to foster genuine human connection in the digital age. Our deepfake detection technology is built with ethical considerations, ensuring accurate results and protecting user privacy. with facia, You will
- Mitigate deep fake risks and protect your brand image.
- Facial recognition for real-time attendee verification
- Automatic face detection to enhance security measures
- Build a secure video conferencing environment
- Gain valuable insights into participant engagement
Morpheus: Raison D'etre
Facia's in-house computer vision technology, Morpheus, is trained on a massive and diverse dataset encompassing extreme conditions and various scenarios. This empowers Morpheus to combat over 60 sophisticated spoofing attacks, including video manipulation and synthetic visual generation like deepfakes.
Seamlessness & Accessibility
Facia's technology integrates effortlessly into your existing setups, promoting accessibility for all participants. Our system includes a Web SDK and a Restful API with easy integration guides.
- Seamless Integration
- Robust Identity Verification
- Emotion and Engagement Analysis
- On-premise & Cloud Integrations
Benefits of Facial Recognition
Ticketing System
CFO Deepfake
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. Facia's Morpheus technology can combat such scams by exposing irregularities that reveal even sophisticated deepfakes.
Ukrainian President Volodymyr Zelenskyy
A manipulated video showing Ukraine's President Zelenskyy asking his soldiers to surrender spread like wildfire. Morpheus deepfake detection can play a key role in exposing these manipulations and protecting the integrity of information during times of crisis.
Convincing Deepfake of Company CEO
An employee used free online tools to create a shockingly realistic deepfake of their CEO, Mokady. The deepfake, seemingly showing Mokady casually dressed within his office, was startlingly real, even fooling the CEO himself when revealed in a Teams message. This incident highlights the potential risks of deepfake misuse within companies.
![criminal-identification-face-check-id](https://facia.ai/wp-content/uploads/2024/05/Binance-Scam-Exploits-jpg.webp" "criminal-identification-face-check-id")
Binance Scam Exploits Trust
Fraudsters exploited Hologram AI to create deepfakes of the Binance COO, 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, demonstrating how deepfakes can disarm traditional security.
Ready to Secure,
Deepfake Free Video Call Experience
Request a DemoFrequently Asked Questions
Deepfakes in live calls can be created using two main techniques:
Face Swapping with GANs: This involves training two neural networks against each other to create realistic deepfakes.
Deep Reinforcement Learning: AI agents learn to manipulate facial features in real-time for dynamic deepfakes.
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.
Here are some signs that might indicate a deepfake:
- Unnatural Facial Expressions: Pay attention to anything unusual, such as stiffness, lack of blinking, or misaligned facial features.
- Lighting Inconsistencies: Look for strange shadows, mismatched lighting between the face and the background, or flickering around the edges.
- Audio-Visual Discrepancies: Pay attention if the voice seems off, or there's a mismatch between lip movements and audio.
- Suspicious Behavior: The person says something out of character or the call feels unusual and odd.
Facia's proprietary AI technology, Morpheus, uses advanced deep learning models like Convolutional Neural Networks (CNNs) to analyse subtle variations that reveal deepfakes.
Additionally, Morpheus incorporates 3D liveness detection, examining biological markers (like eye movements) that are difficult for deepfakes to replicate.
