By takumi_hayashi takumi_hayashi
on Fraud Detection & Risk Analysis

SHIELD

Stop fraud at the device level, in real time

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SHIELD
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What Is SHIELD?

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SHIELD is a device-first fraud intelligence platform that focuses on identifying the physical device behind every account and session using advanced device fingerprinting and AI models. By issuing tamper-proof device IDs and providing configurable risk controls, it enables businesses to spot and block fake accounts, account takeovers, payment fraud, incentive abuse, collusion, and other digital threats in real time.

The platform combines device intelligence with a feature-rich AI engine to give risk teams and developers a single system for screening events, enforcing policies, and automating decisions. SHIELD is used by global brands across ride-hailing, superapps, digital wallets, e-commerce, gaming, and online marketplaces to protect growth without adding friction for genuine users.

With privacy-safe, minimal-code integration, companies can deploy and scale SHIELD quickly across markets.

Quick Snapshot

SHIELD helps digital businesses detect and block fraud at its source using device-first intelligence and AI-powered behavioral analysis. Reduce losses, protect users, and scale globally without adding friction to legitimate customers.

Works on
  • Web
  • API
Pricing Model
Cannot determine the price.
Fits on
Affiliate Program
We could not identify an affiliate program.
API Availability
SHIELD has an API available.
Key Features
  1. Detect fraud at the device source
  2. AI-powered behavioral risk intelligence
  3. Real-time protection with low user friction
Audience
  • fraud teams
  • risk managers
  • payments leaders
  • product managers
  • growth teams
  • digital banks
  • e-wallet providers
  • e-commerce operators
  • online marketplaces
  • ride-hailing and superapp platforms
  • gaming and online casino operators
URL
https://shield.com

Screenshot

SHIELD

Key Features of SHIELD

Device-first intelligence

Identifies and tracks the physical device behind every account and session using advanced device fingerprinting, enabling fraud detection at the source.

Tamper-proof device IDs

Generates persistent, tamper-resistant device identifiers that help distinguish between trusted users and fraudsters across multiple accounts and events.

Behavioral analytics

Analyzes in-app and on-site behavior in real time to spot patterns associated with fake accounts, bots, collusion, and account takeover attempts.

Configurable risk controls

Allows risk and product teams to define policies, thresholds, and workflows to automatically approve, challenge, or block events based on risk signals.

Real-time decisioning

Provides real-time risk scoring and recommendations so you can stop fraud instantaneously during sign-up, login, or transaction flows.

Single intelligence platform

Combines device data and AI models into one system of record that supports screening, policy enforcement, and automated decisioning for fraud teams and developers.

Privacy-safe integration

Offers fast, minimal-code integration across web and mobile apps with a design that emphasizes privacy-safe data collection and global scalability.

Use Cases for SHIELD

Fake account prevention

Detect and block fake or mass-created accounts at the device level, reducing spam, promo abuse, and downstream fraud risk from the moment of registration.

Account takeover defense

Identify suspicious logins and session behavior tied to risky devices and stop account takeover attempts before they compromise user data or balances.

Payment fraud control

Score and monitor transactions in real time using device and behavioral intelligence to reduce card testing, stolen card use, and chargebacks.

Incentive and promo abuse

Detect collusion and multi-account abuse behind promotions, referral programs, and incentives so you can protect marketing spend without blocking genuine users.

Marketplace and platform integrity

Protect e-commerce, ride-hailing, and superapp ecosystems from fraudulent sellers, riders, drivers, or gamers by tying activity back to tamper-proof device identities.

Frequently Asked Questions

What is SHIELD and how does it work?

SHIELD is a device-first fraud intelligence and detection platform that identifies the physical device behind every account and session. It combines advanced device fingerprinting with AI-powered behavioral analytics to assign risk, then uses configurable policies to automatically block or challenge suspicious activity in real time.

Which types of fraud can SHIELD help prevent?

SHIELD helps prevent fake accounts, account takeovers, payment fraud, incentive and promo abuse, collusion, and other forms of digital fraud that affect web and mobile apps. It is designed for high-volume consumer platforms such as ride-hailing, superapps, e-wallets, e-commerce, gaming, and marketplaces.

Who should use SHIELD?

SHIELD is built for fraud teams, risk managers, payments leaders, product managers, and growth teams at digital businesses, including digital banks, e-wallets, e-commerce platforms, ride-hailing and superapps, gaming, and online marketplaces that need real-time fraud prevention at scale.

How is SHIELD different from traditional fraud tools?

Unlike traditional tools that focus mainly on accounts or transactions, SHIELD is device-first. It assigns tamper-proof device IDs and uses them alongside behavioral intelligence, giving a deeper view of fraud patterns and allowing you to stop fraud at its origin—before it affects accounts, balances, or incentives.

Does SHIELD offer an API for integration?

Yes, SHIELD provides APIs and minimal-code integration options for web and mobile apps, enabling you to capture device and behavioral data and embed real-time fraud checks directly into your user flows.

How much does SHIELD cost?

Pricing for SHIELD is not publicly listed and is typically discussed during a demo or sales conversation. Businesses can contact SHIELD directly to receive a tailored quote based on their use case and scale.

SHIELD · Our Verdict

SHIELD stands out by anchoring fraud detection at the device level rather than only at the account or transaction level, which is where many legacy systems still focus. Its combination of advanced device fingerprinting, behavioral intelligence, and configurable risk controls makes it a strong fit for high-volume consumer apps that need real-time protection without adding friction to onboarding or payments.

For teams looking to consolidate multiple fraud tools into a single view, the platform’s unified system of intelligence for screening events, enforcing policies, and automating decisions is particularly compelling.

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