Device and Behavioural intelligence
Bureau's fraud prevention stack uses multiple tools, such as Device Intelligence, Behavioral Biometrics, and Graph Network to detect and prevent fraud.
Product Overview
Bureau uses device and behavioural signals in innovative ways to detect fraudsters throughout user's lifecycle journey. Our comprehensive solution offers frictionless fraud fighting capability passively via three different components, and it helps to prevent new age digital frauds.
What are the common types of fraud that are prevented with this solution?
| Fraud Problem | How our fraud prevention stack can help |
|---|---|
| Fake Accounts | Fraudsters create multiple accounts on the same device with the intent of gaming the platform. Using the Device Fingerprint, we can identify if these accounts are being made from the same device and block the user during sign-up. |
| Account Takeovers | Fraudsters may try to take over an existing account by resetting the password or bypassing two-factor authentication. Device Intelligence can detect these attempts by analyzing the device parameters and identifying if the device is different from the one associated with the account. |
| Device Takeovers | In this type of fraud, a fraudster gains unauthorized access to a user's device and makes fraudulent transactions. Device Intelligence can detect such activities by analyzing the device parameters and identifying if the device has been recently reset or if there are any other suspicious changes to the device. |
| Fraud Rings | Fraudsters often work in groups to carry out large-scale fraud activities. Device Intelligence can help identify these fraud rings by analyzing the device parameters and identifying if multiple accounts are being created from the same device. |
| Promo and Referral Abuse | Fraudsters may use fake accounts to take advantage of promotional offers or referral programs. Device Intelligence can detect such activities by analyzing the device parameters and identifying if multiple accounts are being created from the same device. |
| Collusion | Collusion is when two or more users work together to commit fraud. Device Intelligence can detect such activities by analyzing the device parameters and identifying if multiple accounts are being created from the same device or if there are any other suspicious changes to the device. |
| Social Engineering Attacks | A common scheme for fraudsters is to leverage social engineering attacks in order to install software that enables them to control a victim’s device remotely in order to either create a fraudulent account or perpetrate an account takeover attack. Bureau Device Intelligence has the capability to detect in real time when such attacks occur by detecting remote control software and active remote sessions to a device. |
What is Device Intelligence?
Device intelligence is the use of data and technology to collect information about electronic devices. This information can be used to identify, categorize, and analyze the devices' characteristics, behavior, and attributes for purposes such as fraud prevention, security, authentication, and user experience enhancement.
Behavioural biometrics analyses the unique behavioural patterns of individuals to identify unusual behaviour that deviates from normal behaviour patterns, providing a more accurate and comprehensive analysis of user behaviour.
Device behavioral intelligence excels at precise device identification through digital fingerprints, and it's equally adept at spotting sophisticated fraud indicators like emulators, bots, cloned applications, tampered applications, etc. Our solution brings unmatched fraud-fighting precision and an accurate view of trustworthy devices without hampering the online consumer experience.
Learn more on Bureau's Device Intelligence SDK Integration here
Contact us at [email protected] to sign-up for an account
Updated 21 days ago