Facia.ai
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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.
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.
Webinar Interesting discussions & debates on biometrics and digital identity.
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
In an era where looking is no longer thought to be believing , deepfake technology has emerged as a cunning tool for cybercriminals, making it hard to differentiate the line between reality and fraud. One of the most concerning trends in 2025 is the use of Deepfake technology to improve cyberattacks, particularly whaling attacks, which are more convincing and harder to detect.
Deepfakes look realistic but in reality, they are fake video or audio media produced by using different artificially intelligent tools to duplicate the voice or looks of an individual. Contrary to outdated methods of email phishing , deepfake whaling makes employees or common individuals believe that they are communicating with actual persons or executives through voice or video messages.
We are now talking about how such attacks are used to lure the targets into paying money which results in a loss of money for the businesses and individuals who fall prey to such scams.
A Whaling attack is a specific form of phishing where the target is a higher authority such as CEOs, Directors, senior managers , and CFOs. These higher authorities are referred to as whales because they are the powerhouse of a company and have access to confidential data. During a whaling attack, a cyber attacker typically impersonates one of such CEOs to create realistic video clips of the CEO to deceive an individual into transferring funds, validating false contracts or payments and now with AI-powered Deepfakes the entire game is changed.
The year 2024 witnessed a lot of high-profile deepfake scams making it to the news. Deepfake technology has paved the way to a new dimension to whaling attacks, enabling cybercriminals to impersonate executives with alarming realism.
For instance, a Deepfake Video Call Scam faced by Arup Engineering Firm (2024) a UK-based company that is internationally well-known, fell victim to a deep fake-facilitated whaling attack during a video conference. The call was made using a deepfake featured representation of senior executives, which caused a loss of $25 million. The staff member believed that the request was legitimate and authorized the transfer, indicating the growing menace of deep fake-facilitated whaling attacks.
Election Disinformation (2024), In April 2024 , Deepfake Video Call scam in the Philippines, a video appeared that manipulated Philippine President Bongbong Marcos to falsely depict him as ordering military action in response to an attack by China. This was one of the larger waves of election-related disinformation, highlighting how Deepfakes are being used to arm political deception.
Whaling is a form of cyberattack that involves targeting key company individuals such as CEOs or finance directors. Whaling is risky as it appears extremely real and usually manages to trick people into giving away sensitive details. Whaling uses three principal techniques to succeed :
Whaling attacks are emotional. They make people pretend to be an important person, such as the CEO, and send urgent emails requesting immediate responses. The emails may read something like,” This is a confidential affair, don’t mention it.” This is effective because workers do not want to disobey orders, particularly from senior authorities.
Attackers do their research before launching an email whaling attack. To gather information on the company and its executives they source LinkedIn and company sites. They discover who is partnered with whom, what initiatives are underway, and even how executives draft their emails. Then they generate counterfeit messages sometimes including correct names, actual events, and comparable writing styles that are extremely convincing. Since the message seems so familiar and personal, the target usually accepts it and acts upon it.
Contemporary Companies operate on emails, approvals, and digital tools. Whaling attacks leverage these systems against the company. For instance, an attacker can make a spoofed invoice that appears to be from an actual vendor. Often, hackers hijack the email of an actual executive and use it for spoofing instructions. Such attacks are difficult to detect because they adhere to standard company protocols. Everything looks normal until it is too late.
Whaling and Phishing are both types of cyber-attacks where sensitive information is stolen through trickery, with a common scope and target. Phishing is a wide strategy whereby attackers pretend to be legal sources , like popular platforms or banks to dupe regular users by making them provide confidential information or clicking on harmful links.
Whaling, on the other hand, is an advanced more focused form of phishing that particularly targets high-level executives such as CEOs and CFOs. The real-world scenario in this regard is the Snapchat attack in 2016, when an employee was phished using a spoofed email pretending to be from the CEO, resulting in transmitting confidential employee’s payroll data to the attacker. This shows how whaling attacks use authority and trust to access confidential information.
Deepfake rendering whaling attacks have become increasingly more believable and menacing significantly in recent years. Multiple factors can contribute to it like:
Sophisticated Facial Deepfakes call for bringing innovation in deepfake detection solutions, calling for charter applications of advanced deepfake detection tools like Facial biometrics and Liveness detection to identify real and counterfeit users. These tools analyze an individual’s facial characteristics and introduce an added layer of protection of eye movement and instant reactions. Among all the methods, Biometric detection is the most effective solution against deepfake attacks.
A whaling attack is a sophisticated phishing attack targeting top executives. It employs customized strategies to trick them into disclosing sensitive information or making fake transactions.
Phishing is general, generic attacks on many individuals with fake messages. Whaling focuses on high-level executives by using personalized methods to collect sensitive data.
Whaling attacks impersonate executives with high-priority, high-value requests. Be on the lookout for suspicious tone, misspelled domains, or unfamiliar instructions.
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The Rise of Deepfake-Driven Whaling Attacks in 2025
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