LegitDevice
The behavior that reveals the fraud.
Our device intelligence analyzes suspicious behavior via fingerprint scanning even before the user initiates liveness.
Our device intelligence analyzes suspicious behavior via fingerprint scanning even before the user initiates liveness.
LegitDevice scans the environment and cross-references signals from the device, network, location, and behavior before any action is taken.
VPNs, emulators, geolocation hopping, and suspicious fingerprints go unnoticed by those who only look at faces. For Legitimuz, these are the first signs for fraud prevention.
Analyzed by session
Response time
Uptime
for the legitimate user
The right friction, at the right time. LegitDevice feeds LegitFace with risk context before liveness. Suspicious device? The challenge increases. Trusted user? The journey flows.
The system analyzes each session in layers—device, network, location, and behavior—delivering a contextual risk score for smarter orchestration decisions.
Compatible with any workflow and in any application:
Changes of location that are impossible within a short period of time are automatically flagged.
Accesses that mask the user's true origin are identified before verification begins.
Bots, scripts, and emulators do not pass LegitDevice's behavioral fingerprinting.
The same device attempting to create multiple identities was detected before reaching KYC.
Real-time lookup that cross-references IP addresses with risk databases, past fraud, and suspicious patterns.
At the time of registration, LegitDevice silently analyzes the environment, device, network, and location, and delivers a risk score before liveness begins. Legitimate applicants advance; suspicious applicants encounter a barrier.
Less overhead on KYC and reduced costs from unnecessary checks.
Each login attempt is compared to the device and session history. A different environment, an impossible location, or remote access tools trigger actions before the legitimate user loses access to the account.
Frictionless account takeover prevention for legitimate users.
Transactions, withdrawals, and profile changes are evaluated using real-time device signals. The accumulated context from previous sessions enriches each decision, and the more the user interacts, the more accurate the analysis becomes.
Detecting fraud in action without disrupting the legitimate user experience.
Your data is protected and will be used exclusively to carry out your registration with security, transparency and confidentiality.