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Facia.ai
Company
About us Facia empowers businesses globally with with its cutting edge fastest liveness detection
Campus Ambassador Ensure countrywide security with centralised face recognition services
Events Facia’s Journey at the biggest tech events around the globe
Innovation Facia is at the forefront of groundbreaking advancements
Sustainability Facia’s Mission for a sustainable future.
Careers Associate with FACIA’s team to create a global influence and reshape digital security.
ABOUT US
Facia is the world's most accurate liveness & deepfake detection solution.
Facial Recognition
Face Recognition Face biometric analysis enabling face matching and face identification.
Photo ID Matching Match photos with ID documents to verify face similarity.
(1:N) Face Search Find a probe image in a large database of images to get matches.
DeepFake
Deepfake Detection New Find if you're dealing with a real or AI-generated image/video.
Detect E-Meeting Deepfakes Instantly detect deepfakes during online video conferencing meetings.
Liveness
Liveness Detection Prevent identity fraud with our fastest active and passive liveness detection.
Single Image Liveness New Detect if an image was captured from a live person or is fabricated.
More
Age Verification Estimate age fast and secure through facial features analysis.
Iris Recognition All-round hardware & software solutions for iris recognition applications.
Customer Onboarding New Seamlessly and comprehensively onboard your customers.
Complete playbook to understand liveness detection industry.
Read to know all about liveness detection industry.
Industries
Retail Access loyalty benefits instantly with facial recognition, no physical cards.
Governments Ensure countrywide security with centralised face recognition services
Dating Apps Secure dating platforms by allowing real & authentic profiles only.
Event Management Secure premises and manage entry with innovative event management solutions.
Gambling Estimate age and confirm your customers are legitimate.
KYC Onboarding Prevent identity spoofing with a frictionless authentication process.
Banking & Financial Prevent financial fraud and onboard new customers with ease.
Contact Liveness Experts To evaluate your integration options.
Use Cases
Account De-Duplication (1:N) Find & eliminate duplicate accounts with our face search.
Access Control Implement identity & access management using face authorization.
Attendance System Implement an automated attendance process with face-based check-ins.
Surveillance Solutions Monitor & identify vulnerable entities via 1:N face search.
Immigration Automation Say goodbye to long queues with facial recognition immigration technology.
Detect E-Meeting Deepfakes New Instantly detect deepfakes during online video conferencing meetings.
Pay with Face Authorize payments using face instead of leak-able pins and passwords.
Facial Recognition Ticketing Enter designated venues simply using your face as the authorized ticket.
Passwordless Authentication Authenticate yourself securely without ever having to remember a password again.
Meeting Deepfake Detection
Know if the person you’re talking to is real or not.
Learn
Blogs Our thought dumps on all things happening in facial biometrics.
News Stay updated with the latest insights in the facial biometrics industry
Whitepapers Detailed reports on the latest problems in facial biometrics, and solutions.
Knowledge Base Get to know the basic terms of facial biometrics industry.
Deepfake Laws Directory New Discover the legislative work being done to moderate deepfakes across the world.
Case Studies Read how we've enhanced security for businesses using face biometrics.
Press Release Most important updates about our activities, our people, and our solution.
Implement
Mobile SDK Getting started with our Software Development Kits
Developers Guide Learn how to integrate our APIs and SDKs in your software.
On-Premises Deployment New Learn how to easily deploy our solutions locally, on your own system.
Most important updates about our activities, our people, and our solution.
Buyers Guide
Complete playbook to understand liveness detection industry
In This Post
It sounds like science fiction, but AI-created videos and audio fool employees into sending millions to scammers. For companies today, this isn’t fantasy, it’s a new reality. Digital technologies are on the ascendancy. While Deepfake technology is doing wonders in creative industries it is becoming a tool at the hands of criminals using it for malicious purposes. Hence it is becoming a serious cyber menace. AI-created videos and audio recordings can impersonate real individuals with uncanny accuracy, making them nearly indistinguishable from authentic communication.
The distinctive threat of deepfakes lies in their dual nature:
Businesses need to ensure security against both of these risks by assessing their vulnerability.
The Following are five strategies that are like a shield against both types of deepfake fraud, with some real-world implementation. The First three strategies are aimed at countering and detecting deepfakes employed to disseminate misinformation, the remaining two strategies are aimed at detecting and preventing deep fakes powered spoofing attacks launched at identity verification systems.
Technology alone will not rescue a business if its people don’t know about impending threats. The staff need to be educated to identify voice or video communication anomalies. In the case where most of the cybercriminals have been using deepfake audio or videos, they pretend to be senior executives to manipulate employees into sharing sensitive data or making urgent payments.
Companies have to create deepfake awareness training across teams via:
Very often deepfake attacks are executed through informal, unsolicited messages, such as WhatsApp texts from the CEO or a voice note from an external legal consultant. These communication channels are hard to secure and simple to spoof.
Proofpoint reported a case where An international manufacturing firm had a policy against granting requests through personal emails or messaging services. When an impersonator tried to fake a board member’s voice through an email spoof, the request was disregarded and escalated due to protocol.
These restrictions on informal communication should be followed by:
Deepfakes require training data: huge collections of authentic images, videos, or audio files that train AI systems to learn the way a person’s face, voice, or expression can be imitated. Public video or audio recordings of executives provide an easier target for attackers to copy faces and voices.
The deepfake threat can be mitigated by minimizing executives’ media exposures and protecting public content by :
Deepfake scams are successful in the cases when an employee rushes to act on a voice or video message from a senior executive. If an attacker can fake an identity, the whole system collapses. Multi-factor authentication is strengthened by facial biometrics.
Multi-factor authentication using facial biometrics can be ensured by:
AI-created media is usually unperceivable by the human eye or ear. Detection tools examine voice patterns, eye movement, and pixel irregularities to identify fake content in real time.
To mitigate AI-powered deepfake detection, it is necessary to :
As the deepfake technology keeps evolving, the threats related to it are also increasing. Businesses need to evaluate the capacity in which they may face deepfake threat. Facia provides exactly that.
Facia brings together liveness detection and industry-leading Face accuracy to prevent deepfakes from detecting deepfake videos used in whaling attacks and successfully detects deepfake attacks during Remote Identity Verification.
Facia ensures accurate identity verification for sectors requiring higher levels of assurance in authentication by minimizing less than 1% False Rejection Rate (FRR) and False Acceptance Rate(FAR) of almost 0% to optimum levels. Which ensures each identity is confirmed accurately.
Facia’s higher level of assurance in offsite deepfake detection coupled with advanced 3d liveness detection for remote identity verification provides a strong safeguard for detecting deep fakes during E-meetings.
Further, its accuracy in deepfake detection, as proven, is a strong defense. Facia’s algorithm has been tested on Meta’s DFDC dataset and it showed 100% accuracy, whereas the in-house dataset, the accuracy achieved was 89.01%. ensures prevention of misinformation through deepfakes helping businesses comply with Anti-Deepfake laws.
With Facia , organizations can stay one step ahead of emerging threats , and save billions in scams and keep their reputation intact.
In a time when seeing isn’t always believing, Facia’s deepfake detection and deepfake attack detection tools help prevent misinformation and secure remote identity verification processes.
Businesses can stay updated on evolving deepfake threats through intelligence, industry reports, employee training, and advanced biometric solutions like Facia.
Yes, Multi-factor authentication provides an essential layer that deepfakes can’t get around. It helps by verifying genuine user presence and identity.
Yes, Laws such as the EU AI Act and the U.S. Deepfakes Accountability Act are seeking to prevent deepfake abuse. They ensure transparency, demand disclosure, and advocate for detection technology to fight synthetic fraud.
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