How ID Fraud Shield Works
How ID Fraud Shield Works
ID Fraud Shield operates through a three-stage process that ensures comprehensive fraud detection while maintaining optimal performance:
1. Signal Collection
When your mobile app initializes the SDK, it immediately begins collecting device and behavioral signals:
Device Identity: Fingerprint, hardware model, OS version, device age
Threat Indicators: Emulator detection, rooted/jailbroken status, debugger, malware, app tampering
Network Intelligence: IP address, geolocation, VPN/proxy detection, ISP information
Behavioral Patterns: Copy-paste events, hesitation patterns, session duration, number of copy-paste events
Session Context: IP velocity, device-to-account linkage, historical fraud patterns
This collection happens automatically and requires no user permissions, ensuring zero friction for your users.
2. API Response
Your application receives a compact JSON response containing:
ruleEvaluations[]: Array of all triggered rules with their risk levels
deviceProfile: Key device signals and threat indicators
ipProfile: Network intelligence and geolocation data
behaviorMetrics: User interaction patterns
riskLevel: Overall assessment result (CRITICAL | HIGH | MEDIUM | LOW)
partnerTrxId: Your transaction identifier for tracking
This response enables your application to make instant decisions: block transactions, require step-up authentication, flag for review, or allow seamlessly.
Where ID Fraud Shield Works
ID Fraud Shield integrates across critical touch points in your application:
Mobile Applications
Currently, ID Fraud Shield is available for:
iOS Native Applications: Swift/Objective-C via iOS SDK
Android Native Applications: Kotlin/Java via Android SDK
Use Cases
Device intelligence is captured and evaluated during:
Account Opening: Detect fake accounts, device farms, and synthetic identities
User Login: Prevent credential stuffing and account takeover attempts
Password Reset: Identify suspicious password change attempts
Fund Transfers: Prevent fraudulent transactions and social engineering scams
Profile Updates: Monitor changes to sensitive account information
High-Value Transactions: Apply enhanced scrutiny to large-value activities
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