- DATASHEET -
PingOne Fraud
PingOne Fraud combines real-time behavioral navigation, behavioral biometrics, device attributes, network attributes and much more to detect sophisticated fraud attacks that bypass other detection tools, while ensuring a hassle-free customer experience for trusted users. It conducts individual customer session analysis and produces a risk score to incorporate into your fraud detection policies. PingOne Fraud removes the need for organizations to choose between a lower fraud rate and a customer-friendly application. An easily deployed light SDK solution, PingOne Fraud supports both mobile and web environments.
Features & Benefits
|
Categories of Fraud Signals Evaluated
|
Evaluate Behavioral Biometrics to Detect Online Fraud
PingOne Fraud leverages behavioral data to identify a user’s intent, helping fraud fighters accurately distinguish between fraudsters and legitimate customers. Fraudsters have distinct behavioral patterns, while bots and emulators have their own distinct behaviors. Recognizing their intent behind those behaviors is the key.
Behavioral Navigation
The interactions of a user with a website or application differ between legitimate customers and fraudsters. Fraudsters aim to carry out attacks quickly and efficiently and move on to their next target. Examples of deviations from normal user behaviors include moving between or filling out fields in a registration form too quickly or going directly to change the shipping address instead of browsing and adding items to the cart. Recognizing these actions allows our technology to determine the user’s intent and detect fraudulent activities.
Behavioral Biometrics
PingOne Fraud's technology continuously analyzes hundreds of data points generated by the innate physical interactions between a human and a device, such as mouse movements, keystroke dynamics and mobile gestures analysis. These data points are used to differentiate between legitimate and fake user behaviors (such as bots), as well as between legitimate and fake devices (such as emulators). Rather than looking for known signatures of these tools, PingOne Fraud looks at normal interactions and alerts whenever an anomaly is presented so it can alert on the newest and most-sophisticated attacks.
- Device Attributes
Similar to how our technology separates human and non-human users, pairing device attributes and behavioral data allows detection and classification of fraudulent devices like emulators or devices running through a cloning app. Identifying if a device has been tampered with or spoofed is easy. Emulators leave a footprint on the OS. Incomplete critical behavioral data like mobile attributes missing accelerator or gyroscope data automatically raise red flags. When a device generates suspicious attributes there is no need to wait to assess user activities.
- Network Attributes
Fraudsters will often use unknown VPNs, Tor and proxies to mask their IP address in order to gain access to resources and applications. Similar to device attributes, PingOne Fraud additionally analyzes the legitimacy and security of the network that the device is using. This included things like IP analysis, data centers/hosting, network ISP and carrier information.
Address Multiple Fraud
Use Cases
As fraudsters continue to adapt to digital channels, PingOne Fraud ensures your customers can securely and easily transact and make purchases. PingOne Fraud presents a unified approach, addressing multiple fraud use cases and threats while providing frictionless customer experiences.
Start Today
See how Ping can help you deliver secure employee and customer experiences in a rapidly evolving digital world.
Request a free demo