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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.
More
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
Whitepapers Detailed reports on the latest problems in facial biometrics, and solutions.
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.
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.
Buyers Guide
Complete playbook to understand liveness detection industry
In This Post
Account takeover fraud has come forward as one of the most dangerous and damaging cyber threats in today’s world. As reliance of businesses and consumers increases exponentially on online services whether it be banking, e-commerce, social media or cloud platforms, similarly the cybercrime landscape has evolved at an unprecedented pace.
Cybercriminals have developed increasingly sophisticated methods to hijack accounts, steal sensitive data and commit financial fraud.Over the past few years, Account takeover attacks have gone from simple credential-stuffing attempts to highly sophisticated schemes involving social engineering, AI-powered automation and deepfake impersonation. This rise in large-scale data breaches, phishing-as-a-service (PhaaS) platforms and AI-driven fraud tools has made it easier than ever for attackers to bypass traditional security measures, turning ATO into a multi-billion dollar criminal industry.
A report by TechRepublic stated that nearly a quarter of all US residents had been victims of ATOs, with average financial losses amounting to $12,000. Also in a study conducted by Javelin Strategy & Research and AARP “account takeover fraud resulted in nearly $13 billion in losses in 2023 up from $11 billion in the previous year”. These figures are a stark reminder of the threat that is account takeover attacks in today’s world.
Businesses across all industries are moving towards major reconsiderations to their security strategies to address this serious issue.
Deepfakes are not just limited to personal or political attacks now. Hackers now use them to spoof identity verification tech through ‘presentation attacks’ holding up screens or masks and ‘injection attacks’ feeding pre-recorded deepfake videos directly into systems. The result of which is fraudsters being able to bypass even advanced facial recognition by impersonating real users, turning what should be airtight security into easy play. Which is why today’s biometric solutions need real-time liveness check that detect micro-movements, blood flow and AI-generated artifacts.
The World Bank in a recent report highlighted that deepfake fraud has surged by 900% in recent years! This not only raises serious concerns but also highlights the impact of this technology and the monetary loss this can result in.
There are several reported cases worldwide of financial scams involving deepfakes e.g A financial worker of a well reputed firm in Hong Kong being tricked into paying $25 million when fraudsters employed deepfake technology to mimic the company’s Chief Financial Officer or when a group of business owners in Italy were subject to a scam in which the scammers cloned Italian Defence minister’s voice requesting money to help pay the ransom of journalists kidnapped overseas. At least 1 million euros was successfully retrieved by scammers from this attempt.
Moreover, in the UK, WPP chief executive Mark Read said “scammers used a combination of a voice clone and Youtube footage to schedule a meeting with themselves and company executives” despite the highly sophisticated attempt, fortunately for the victims, the scam was unsuccessful.
In this age of sophisticated AI powered frauds, hearing messages from prominent figures or loved ones are making Account Takeover scams and attacks ever more convincing, raising an urgent need for prevention and protection solutions.
Account takeover attacks have evolved significantly over time, with traditionals methods like credential stuffing and phishing giving way to more advanced ways such as the use of deepfake technologies.
Hackers take leaked usernames/passwords from old breaches and spread them across sites, hoping the victims reused the same logins. One successful attempt can give them everything from bank accounts to emails.
Phishing is one of the oldest and most common methods of account takeover fraud. Victims get a text or email that seems to be legit from a bank or institution, containing a link. Once that link is accessed they are successfully in.
Scammers call the victim’s mobile provider pretending to be the original user and eventually hijack the victim’s phone number. They get all the texts and calls on that number from there onwards, including 2FA codes to prevent fraud and authenticate transactions.
Modern techniques of Account takeover attacks include: deepfake powered impersonation, deepfake voice cloning for customer support frauds and automated attacks with AI-driven bots.
According to reports in American Banker, digital fraud losses from attacks such as ATO are expected to surpass $343 billion globally between 2023 and 2027. Financial institutes face a high risk of fraud due to the nature of operation and the sensitive information they handle. According to the Association of Certified Fraud Examiners (ACFE), financial institutions account for 16.8% of all reported fraud cases, with Account Takeover fraud seeing an increase of 72% resulting in losses of up to $11.4 billion. Meanwhile, 83% of financial institutions reported an increase in phishing and social engineering scams.
Account takeover frauds and attacks have effects way beyond the financial realm. Reputation damage, loss of business, negative publicity and the perception of weak security are some of the challenges which are faced by modern organizations. Such attacks result in extremely long-term damage which can undo decades of good reputation and hardwork and take years to rebuild the lost credibility. Organizations lose customer trust and loyalty which leads to termination of relationships. Understandably, customer’s lose their trust if a company is found inadequate in security measures which lead to account takeover and other fraudulent activities.
Today, passwords just aren’t enough protection anymore. With phishing scams, credential stuffing and now deepfake powered fraud, traditional security measures are struggling to keep up, which is why more and more financial institutes, social media companies and other businesses which have reliance on higher level of assurance in authentication are turning to biometrics such as facial recognition to lock down accounts. When done right, biometric tech does not just add security but makes life easier for customers. No more forgotten passwords or SMS codes that can be intercepted.
So, one asks naturally “What does doing it right look like?”. High-quality facial recognition is the gold standard as an Account Takeover fraud solution. Unlike passwords or even fingerprint scans, advanced facial biometrics are nearly impossible to spoof, especially when combined with “liveness detection”. Using this technology, when a customer opens their banking app, the camera scans their face in real time and within seconds they’re securely logged in with no hassle and no fraud risk.
But not all biometrics systems are accurate. Weak systems can backfire helping fraudsters slip through with fake IDs, frustrating legitimate customers with constant false rejections or worse, creating new security loopholes for cyber criminals to exploit.
Biometrics are a game changer for fraud prevention but only if financial institutions, social media companies and businesses with a high reliance on authentication invest in cutting edge, rigorously tested solutions because in the fight against cybercriminals, half measures won’t just fail but will make things worse.
The fight against fraud is not just about technology but also about staying alert, adapting fast and building defenses that evolve faster than the criminals do. Deepfakes have turned account takeover fraud into a high-tech nightmare, where a convincing fake voice or video can trick even the most vigilant systems.
Passwords as a means of security are on their way out. No one wants to juggle a dozen complicated codes or rely on SMS OTPs which are prone to cyber attacks. The future is facial biometrics. As facial authentication becomes the norm, making sure its bulletproof is non-negotiable because fraudsters are not holding back. Deepfakes, AI-generated faces and high tech spoofing techniques to fool unprepared systems are weaponized today beyond recognition.
The key here is vigilance and innovation. Banks and businesses can’t just set up security and hope for the best. They need layers of protection i.e real time liveness checks, AI-powered deepfake detection and facial biometrics advanced enough to spot a synthetic face in a matter of milliseconds.
Account Takeover (ATO) Fraud occurs when criminals gain unauthorized access to a victim’s bank, social media or other online accounts to steal money or data. They often use phishing, data breaches or AI-powered impersonation to bypass security.
Scammers use AI-generated voices or videos to impersonate account holders, tricking customer support into resetting passwords or approving transactions. For example, a cloned face could mimic a bank customer to bypass biometric verification.
Enable multi-factor authentication (MFA), monitor account activity and use behavioural biometrics. Financial institutions should also train staff to detect deepfake scams and implement AI-powered fraud detection systems e.g. Facial biometrics, liveness detection.
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The Rising Threat of Account Takeover Frauds & The Role of Deepfakes.
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