Nowadays, businesses operate in an environment where identity fraud, account takeovers, and fake registrations are common practices. The traditional verification techniques, such as passwords, PINs, or manual ID check methods, are not sufficient to stop strategic fraudsters.
For a better security system, many companies have adopted AI-powered face search. It’s a technology that analyze and matches a face through a database to determine whether they are who they claim to be. This advanced method handles the verification accurately and prevents the manipulation of fraud.
You may not have heard about this before, so read this blog to properly understand what face search exactly is and how your business can prevent fraud with it.
What is Face Search?
Face search is a technique which is used to identify and verify anyone by analyzing their facial components. As every fingerprint pattern is unique, the same goes for faceprints. That is shaped by detecting facial features such as the distance between the eyes, the angle of the nose, the structure of the jaw or other marks. Then, these details are compared with images stored in a database.
In simple words, it would not be wrong to say it works to verify individuals using their photo. These individuals can be the business’s employees, clients, stakeholders, investors, and other agents of the company. At the backend, the system extracts the face features, compares them with existing records or real-world pictures, and quickly verifies whether the person is genuine or not by displaying their past pictures linked with sources.
Many platforms are using this method, even tools like Google’s reverse image search, which operate on similar principles. But businesses require more advanced face searches powered by AI and the latest biometric technology to operate seamlessly and increase scalability.
How do Businesses Use Face Search for Fraud Prevention?
Now that you have understood what face search technology is, let’s read how businesses use it to prevent fraud attempts:
1. Verify Applicants to Reduce Identification Scams
Face search is used in banks, fintechs, and marketplaces to make sure an applicant is the same person as the ID is showing. In this way, the account-opening and fake identity fraud based on fabricated details are reduced.
For verification purposes, multiple face search tools are operating, but it would definitely take hours to find a reliable tool which offers 100% accurate results with security. I don’t want you to walk through many tools, that’s why I suggest Face Search Engine for your help. It takes a picture of the applicant and then displays output to seamlessly handle the verification process.
2. Minimize Account Takeover Frauds
Businesses’ accounts need stronger security, for which passwords or SMS codes are not enough. These types of verifications are easy to steal or bypass for attackers. That’s the reason some businesses use face verification for sensitive matters, such as big money transfers or updating account details. If you are running a business, you should also utilize this technology. With face Search verification, it would be difficult for an unauthorized person to get access to accounts or pretend to be the real user.
3. Prevent Payment Tricks & Checkout Attacks
E-commerce businesses usually deal with fraud during checkout and payment. For instance, when malicious individuals use some stolen cards or hacked accounts to place orders. If a business does a face search, it can confirm whether the person who purchased it is the real account owner or not. So, it will be so hard for anyone to do a transaction using someone else’s profile.
4. Faster investigation of suspicious incidents
No one can manually spend hours on footage or searching through customer records. Cameras which installed face search can quickly provide the relevant searches for the targeted person. It helps to speed up the investigation process and reduces the time to identify who was involved in a fraudulent activity.
5. Physical access and staff verification
Face Search is also used by companies to control who can enter their offices, warehouses, or specific areas. Likewise, it also helps to identify contractors and visitors before taking a step with them. That’s how it minimize the chances of social-engineering attempts where someone pretends to be staff. Even in the organization, it allows only authorize members to access operational areas.
How do Face Search Algorithms Prevent Fraud?
We have read how various businesses use this technology to reduce fraud. Now, let’s know how this technology actually works:
1. Convolutional Neural Networks (CNNs)
First of all, when face search gets the input, CNNs’ deep-learning models scan a face and examine its complex patterns – edges, shapes, and textures. This advanced technology helps the system to understand facial structure more accurately than traditional image-processing methods.
2. Deep Metric Learning
This method is used to understand the “distance” between different faces. It uses techniques like Triplet Loss or Contrastive Loss to train the system how similar or different two face images should be. That makes the comparison process simpler.
3. Face Embedding Models (FaceNet, ArcFace, SphereFace)
Face search tools integrated different algorithms to convert a face into a numerical pattern called an “embedding.” In this way, each embedding represents the unique features of a face. This allows the system to compare faces more efficiently for accurate results.
4. Presentation Attack Detection (PAD) Networks
Some Faces Search tools also have PAD models that are well-trained to detect spoofing attempts, such as printed images, videos, and deepfakes. They can detect anomalies that occur in the case of providing fake or manipulated faces.
5. Similarity Scoring For Display Output
The digital pattern is then compared with the available picture online or some database to measure how close two face embeddings are. After that, the output is generated with a score rate to know whether the two faces belong to the same person. In this way, businesses can go to the linked source and review their past experience or other necessary details if the person is real.
Wrap Up
After knowing the comprehensive details, you must know how this innovative Face search technology operates and how important its role is in preventing fraud in any business.
The interesting aspect is that it takes no longer, so you can get the result in just a few seconds. It’s far better than manual verifications, which also saves time and enhances the productivity of the business by avoiding any fraudulent practices.
