Categories
Problems that solves
Shortage of inhouse software developers
Shortage of inhouse IT resources
High costs of IT personnel
Shortage of inhouse IT engineers
Values
Reduce Costs
Enhance Staff Productivity
SecuredTouch Behavioral Biometrics
SecuredTouch uses behavioral biometrics and machine learning, to analyze human and device attributes, to automatically identify trusted users and flag suspicious activities
About Product
Description
Passive Biometrics
SecuredTouch’s technology continuously analyzes 100s of data points generated by the innate physical interactions between a human and a device to create unique user profiles for authentication. Machine learning capabilities ensure that these profiles are as accurate and reliable as possible. Our behavioral biometrics technology was designed to passively identify good users first, in order to ensure a seamless user experience. The removal of cumbersome authentication layers leads to increased conversion rates and boosts customer loyalty.
Behavioral Anomalies
The interactions of a user with a website or application differ between legitimate users and fraudsters. Fraudsters aim to carry out their attacks as quickly and efficiently as possible so they can move on to their next target. Moving between or filling in fields in a registration form too quickly, or going directly to change the shipping address instead of browsing and adding items to the cart, are just some examples of deviations from normal user behaviors. Recognizing these actions allows our technology to determine the intent of the user and, therefore, fraudulent activities.
Bot Detection
Automated scripts, AKA bots, allow fraudsters to scale up their attacks rendering current fraud detection tools obsolete. Multi-dimensional data analyzed by our Behavioral Biometrics technology automatically distinguishes between human and non-human users. Therefore, fraud detection no longer needs to rely on rigid solutions that ultimately allow previously undetected fraud to slip by. Attempts to monetize on stolen credit card details or user credentials are halted immediately.
Device Intelligence
Similar to how our technology can separate human vs. non-human users, pairing device attributes and behavioral data allows the classification of fraudulent devices, called Emulators. Identifying if a device has been tampered with or spoofed is easy. Emulators leave a footprint on the OS and incomplete critical behavioral data, like mobile attributes missing accelerator or gyroscope data, automatically raises red flags. When a device generates suspicious attributes, there is no need to wait to assess user activities.
Seamless user experience
Seamlessly analyze different attributes to determine if a user is the legitimate user and a device used is a legitimate device
- Adaptive
- Seamless
- Continuous
- Identity Theft
- Bots
- Emulators
- Stolen Credentials
- Stolen Credit Cards
- Compromised Devices
- Advanced Fraud
- New Account Fraud
- Account Takeover
- Passive User Validation
- Strong Customer Authentication