KYC AML | Know Your Customer

Improve risk scoring

Use location behavior as key risk signal
- Location behavior is the strongest risk signal for mobile users
- Use device intelligence to detect emulators and jail broken and rooted devices
Identify trusted users

Recognize trusted user behavior
- Incognia location technology detects anomalies in user behavior
- Location behavior that doesn't match a behavior pattern is flagged as high risk
Detect device spoofing

Detect emulated or compromised devices
Incognia device intelligence detects anomalies in device characteristics and flags as high risk

Enhance detection of fraudulent devices and fraud farms

Enhancing KYC Using Behavioral Biometrics

Incognia provides enhanced risk assessment enabling companies to reduce the time to verify and onboard legitimate new customers, and comply with KYC and AML requirements.

Unlike public data, Incognia identity verification is real-time, dynamic and continually updating. Incognia location technology, analyzes network signals and on device sensors to build a location fingerprint, unique to each user.

Adding no friction, Incognia works silently in the background. If the address provided during the onboarding process does not match with the user's location behavior pattern, Incognia delivers a high risk score for the user.

New user signs up

The user provides requested information to create an account.
Device is checked

Incognia checks the user’s device for emulation or spoofing and delivers risk score.
Location is checked

Incognia matches the user’s current location with home address provided to assess risk and deliver a risk score.

Designed for developers

Fast SDK integration & easy-to-use APIs

We provide a lightweight mobile SDK and intuitive APIs to make it easy for you to add location and device intelligence to risk assessments throughout the user journey.