SHIELD

Categories: Cybersecurity | Pricing: Enterprise | Official Website ↗

SHIELD identifies and blocks fraud by analyzing device-level data in real-time, preventing fake accounts and fraudulent transactions across web and mobile applications.

SHIELD stops fraud by identifying and blocking fraudulent activities at the device level, preventing fake accounts and transactions before they occur. The platform provides tamper-proof device IDs that persist across sessions, re-installs, and even factory resets, ensuring consistent identification of fraudulent devices. It enables frictionless user authentication by allowing trusted devices to bypass re-verification, OTPs, and CAPTCHAs without compromising security. Users can fine-tune risk sensitivity with over 20 fraud signals and implement device-powered detection at various points in the user journey, such as signup, login, and transactions. The platform also offers real-time session monitoring to flag suspicious device behavior as it emerges and a feature policy engine to customize fraud policies based on user behavior across the entire journey. SHIELD integrates quickly across web, mobile, and server-side environments, providing immediate return on investment without extensive model training or PII data requirements.

Key Features

Tamper-Proof Device IDs
Frictionless User Authentication
Configurable Risk Controls
Event Screening
Real-Time Session Monitoring
Feature Policy Engine
Plug & Play Integration
Privacy-Secure, No PII Needed
Full Data Ownership

Pros

Exposes fraud rings before fake accounts are created or payments are processed
Provides persistent device identification across sessions, re-installs, and factory resets
Allows fine-tuning of risk sensitivity with over 20 fraud signals
Offers device-powered detection at various user journey points like signup and login
Monitors device behavior in real-time to detect suspicious activity
Integrates quickly across web, mobile, and server-side environments
Achieves over 99.99% detection accuracy
Requires no model training or learning curve for immediate ROI
Ensures privacy compliance by not requiring PII data

Cons

Pricing details are not transparent and require a demo request
No free plan or free trial is explicitly mentioned
Requires integration into existing systems
Focuses primarily on device-first fraud intelligence, which might not cover all fraud vectors

Use Cases

Preventing fake account creation
Blocking fraudulent transactions
Securing user logins
Detecting and preventing bonus abuse
Identifying and stopping payment fraud
Protecting against account takeovers
Ensuring fair access to services
Combating cheaters in online games
Safeguarding platform integrity

Best For

Companies seeking to prevent fraud at the device level
Businesses needing real-time fraud detection across web and app platforms
Organizations requiring tamper-proof device identification
Teams looking for configurable fraud risk controls
Developers needing quick integration for fraud prevention

Integrations: Web, Android, iOS, React Native, Unity plugin

Platforms: web, ios, android, api

Watch demo on YouTube ↗

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