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
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.
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.
Try Now
Get 10 FREE credits by signing up on our portal today.
In This Post
Out of band authentication is a protocol that authenticates the user by some other channel other than the primary authentication channel. To illustrate, when a person opens a banking application on a computer, the system sends a verification code to the user’s mobile number. As this message would go via another channel, e.g., SMS or a mobile application, attackers would have to hack both of these channels simultaneously, which is far more difficult.
The usernames and passwords, which are the traditional login credentials, are no longer enough to secure accounts against evolving cyber threats. A persistent threat continues, centered on the possibility that attackers could steal passwords. Passwords are vulnerable to theft, interception, or phishing, making it easier for attackers to gain unauthorized access. This is where out of band authentication comes into play. It is essential to understand how it works to protect digital transactions, financial systems, and personal information.
In order to lower the possibility of unwanted access, out-of-band verification is essential. Criminals are unable to continue without the second verification factor, even if user login credentials are stolen. Businesses that handle private financial information, medical records, or public data should pay particular attention to this. Businesses increase trust and guard against fraud attempts like credential stuffing and session hijacking by requiring users to authenticate themselves through an alternative method.
Organizations use several methods to apply out of band authentication, each adding an extra layer of protection through a separate channel. One common way to verify identity is by sending SMS codes. A one-time passcode goes to the registered mobile phone. Some systems use automated voice calls to share these codes, while others send verification links or tokens to the email inbox. Mobile push notifications are another secure option, prompting users to approve login attempts through trusted apps. Additionally, hardware tokens provide unique codes that function independently of the main login session.
On initial consideration, out of band authentication can appear to be the same as transitional two-factor authentication. The distinction is where the communication route occurs. Conventional two-factor authentication often takes place on the same system, such as with a password and a security question. Out of band authentication always happens on an alternate channel. This isolation significantly reduces the possibility of both factors being breached in a single attack.
Out of band authentication benefits both users and organizations. A major benefit is enhanced account security, as it reduces the risk of password cracking and unauthorized access. It also amplifies adherence to rigorous industrial guidelines, such as PCI DSS, HIPAA, and PSD2, which are vital in an industry that requires controlled access to data. The other primary advantage is that users will have more trust, as they feel safer when platforms offer enhanced security for their information. Its popularity is also influenced by flexibility, as this approach can be applied in various industries, including financial and healthcare sectors, as well as e-commerce and enterprise systems.
Out-of-band authentication has drawbacks despite its benefits. Phishing and SIM swapping are the most common methods used by hackers to intercept SMS messages. If a hacker gains access to a user’s inbox, email verification is at risk. Although hardware tokens can enhance security, they can be expensive and inconvenient to carry around. To be effective, organizations must find a balance between security and user experience.
Some confuse out-of-band with out-of-bounds authentication. When access attempts fall outside of a specified or anticipated security framework, this is commonly referred to as “out of bounds authentication.” Although the concepts are similar, out-of-bounds authentication focuses more on identifying anomalous access patterns than on employing distinct channels for validation. In particular, out-of-band authentication guarantees a separate route for identity verification.
To ensure safety and ease of use, organizations should follow key practices when using out-of-band authentication. It is important to choose secure channels. Push notifications from mobile apps are often more reliable than SMS codes. Users should also be educated so they can avoid phishing attempts and identify authentic verification requests. To prevent accidental lockouts, companies should also offer backup options for users without mobile access. To improve security, regularly update systems and fix any weaknesses in verification services. Also, watch for unusual activities, like multiple failed login attempts, to spot possible trouble early. These actions work together to make systems safer while maintaining a smooth and reliable user experience.
Out-of-band authentication is evolving in response to new cyber threats. Many companies are moving away from SMS verification because of risks like SIM swapping. Even push notifications and traditional two-factor methods can be vulnerable to interception or social engineering. Facial recognition, however, offers a more secure and seamless out-of-band approach. By linking login attempts to a unique biometric trait, organizations can ensure that only the legitimate user gains access, regardless of stolen credentials or device compromise. Combined with AI-driven monitoring, facial verification enhances digital identity protection while maintaining a quick and user-friendly authentication process.
22 Sep 2025
How Deepfake Awareness Training Protects Your Organization Against AI Fraud?
Deepfakes are harmful not only because they are realistic,...
18 Sep 2025
How Can a Detection Error Tradeoff (DET) Curve Help in Evaluating a Binary Classifier?
In AI- and machine learning-powered biometrics, models often face...
12 Sep 2025
Deepfake Engineering is A New Broadroom for the C-Suite Crisis
There was a 2,000% increase in corporate deepfake attacks...
Recent Posts
What is Out of Band Authentication and How Does It Work in Modern Security Systems?
Previous post
Missouri Introduces Age-Verification Rule for Online Adult Sites
Next post
Denmark Enforces Facial Recognition To Block Violent Fans
Related Blogs