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About us Facia empowers businesses globally with with its cutting edge fastest liveness detection
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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.
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Age Verification Estimate age fast and secure through facial features analysis.
Iris Recognition All-round hardware & software solutions for iris recognition applications.
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.
Resources
Blogs Our thought dumps on all things happening in facial biometrics.
News Stay updated with the latest insights in the facial biometrics industry
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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.
Mobile SDK Getting started with our Software Development Kits
Developers Guide Learn how to integrate our APIs and SDKs in your software.
Knowledge Base Get to know the basic terms of facial biometrics industry.
Most important updates about our activities, our people, and our solution.
Author: teresa_myers | 04 Oct 2024
In This Post
Meta, the holding company of Facebook and Instagram, is cracking down aggressively on deepfake scams that have cost Australians millions of dollars by having takedown more than 9,000 scam pages. It would be consistent with reports that show loss in Australia amounting to $43.4 million through celebrity deepfake used in facilitating fake investment schemes as a scam that took in most of the victims. These scams unmistakably feature household names, like David Koch, Gina Rinehart, and Anthony Albanese touting junk investment schemes-what has perhaps most commonly been crypto-related.
Between January and August 2024, Australians reported losing $30 million to direct fake investment scams. To tackle the increasing menace, Meta spearheaded the development of the Fire. Fire is a platform created through collaboration with the Australian Financial Crimes Exchange. It allows financial institutions and Meta to share real-time information on scams.
Fire is working with seven of Australia’s biggest banks, for example, ANZ, Bendigo Bank, Commonwealth Bank, HSBC, Macquarie, NAB, and Westpac. In return for that service, Meta shares insights from those reports back to the platform. Since it was launched as a pilot in April 2024, Meta has taken down thousands of scam pages and blocked 8,000 AI-generated deepfake scams.
Despite all this, the number of reported scams is still largely greater than the number of pages that are taken down. In August alone, 1600 reports of scams originated from social media, states Scamwatch. However, Meta will keep developing its detection methods, such as improving the communication between the banks and their platforms, to reduce the scam activity even further.
According to Meta, the director for global threat disruption, David Agranovich, said that while removing scam pages are good step forward, “scammers keep coming and coming with new ploys,” adding that the firm is looking to upgrade scam reporting and integrate much more and better intelligence from the banks and the users to outmaneuver the scammers.
There are also efforts from the Australian government. In managing such a quick growth of scam issues, Assistant Treasure Stephen Jones proposed draft legislation specifying liability for banks, telcos, and social media firms avoiding such scams. Feedback on this draft remains open until October 4, 2024.