Facia.ai
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About us Facia empowers businesses globally with with its cutting edge fastest liveness detection
Campus Ambassador Ensure countrywide security with centralised face recognition services
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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.
Customer Onboarding New Seamlessly and comprehensively onboard your customers.
Read to learn all about Facia’s testing
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.
iGaming 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.
FAQs Everything there is to know about Facia’s offerings, answered.
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.
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The Saudi Arabia Personal Data Protection Law (PDPL) was enacted in 2021 and came into effect in 2023. It tackles concerns such as the abuse of images and videos, such as deepfakes, particularly when such are produced without authorization.
The PDPL establishes clear guidelines on how to gather, process, and transfer personal data, including biometric and visual data used to identify an individual. It also deals with the production and dissemination of deepfakes through personal data without consent. There are certain exceptions where the purposes are national security, court proceedings, or scientific studies, but these would have proper protection measures in place.
Forbidden Conduct: Article 5 clearly indicates that “processing personal data without the data subject’s consent” is prohibited. Such are instances of altering or disseminating pictures or videos purporting to be of a person.
Specific Consent Requirements: Article 6 reiterates that “the data subjects must be informed and provide explicit consent” prior to their personal data, including their image, being gathered or processed.
Platform Responsibilities: Firms should “take technical and organisational measures” to secure information and stop breaches, like removing illegal deepfakes.
If a business is not sanctioned with the Personal Data Protection Law (PDPL), it may be penalized up to SAR 5 million (approximately USD 1.3 million). Offenders who are repeat offenders will be penalized even more. The Saudi Data and Artificial Intelligence Authority (SDAIA) will make sure that this law is adhered to and enforced.
To date, no major public court cases have contested the PDPL itself in relation to deepfakes. Compliance guidelines were released by SDAIA and audited some entities, though.
Though it does technically overlap somewhat with the EU’s GDPR, the PDPL is indeed far more centralized in that SDAIA oversees it. Unlike some of the laws in the U.S. states, it doesn’t yet address deepfakes but instead deals with the problem through a regulation of the misuse of personal data.
Producers must obtain express permission to exploit the likenesses of actual people in AI-created content. Anyone can complain to SDAIA to have their likeness erased or sue for damages.
The law will be revised with clearer provisions on AI and deepfakes. Draft revisions are under consideration to enhance transparency and align it with international best practice.
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