Software Alternatives, Accelerators & Startups

SHIELD VS DataVisor

Compare SHIELD VS DataVisor and see what are their differences

SHIELD logo SHIELD

SHIELD is the first line of defense against fraud, empowering businesses to build trust and drive growth with persistent device fingerprinting and intelligence.

DataVisor logo DataVisor

DataVisor provides big data security analytics to help protect consumer-facing websites and mobile apps from cyber criminals.
  • SHIELD
    Image date //
    2025-06-05

SHIELD is a device-first fraud intelligence platform that helps digital businesses worldwide eliminate fake accounts and stop all fraudulent activity.

Powered by SHIELD AI, we identify the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable fraud intelligence, empowering businesses to stay ahead of new and unknown fraud threats.

We are trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney, and more. With offices in San Francisco, London, Berlin, Jakarta, Bengaluru, Beijing, and Singapore, we are rapidly achieving our mission - eliminating unfairness to enable trust for the world.

  • DataVisor Landing page
    Landing page //
    2023-09-17

SHIELD

Website
shield.com
$ Details
paid Free Trial
Platforms
Windows Linux iOS Android
Release Date
2008 December
Startup details
Country
Singapore
State
Singapore
Founder(s)
Justin Lie
Employees
100 - 249

DataVisor

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

SHIELD features and specs

  • Device-First Fraud Intelligence Platform
    Stop fraud and reduce friction across web and app with real-time device intelligence.

DataVisor features and specs

  • Advanced Machine Learning
    DataVisor utilizes advanced machine learning algorithms to detect fraud in real-time, offering effective protection against evolving fraud techniques.
  • Scalability
    The platform is designed to handle large volumes of data, making it suitable for businesses of all sizes looking to detect fraud quickly and efficiently.
  • Unsupervised and Supervised Learning
    Combines both unsupervised and supervised learning approaches to improve the accuracy of fraud detection and reduce false positives.
  • Comprehensive Analytics
    Offers detailed dashboards and reporting tools that help organizations understand fraud patterns and take informed actions.
  • Wide Industry Application
    DataVisor's solutions can be applied across multiple industries including fintech, e-commerce, and social platforms, providing flexibility.

Possible disadvantages of DataVisor

  • Complex Integration
    Integrating DataVisor into existing systems can be complex and may require significant resources and IT expertise.
  • Cost
    The comprehensive features and capabilities of DataVisor come at a high cost, which may be a limiting factor for smaller businesses.
  • Learning Curve
    Users might face a steep learning curve in understanding and fully utilizing the platform's vast array of features and tools.
  • Dependence on Data Quality
    The accuracy of DataVisor's fraud detection largely depends on the quality of the data provided, which could be a challenge for some organizations.
  • Limited Offline Capabilities
    Primarily a cloud-based solution, DataVisor may have limited functionality when it comes to offline data processing.

SHIELD videos

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DataVisor videos

DataVisor - MSFT Startup Showcase

More videos:

  • Review - DataVisor Launches Global Cyber Security Service Running on AWS
  • Review - dCube from DataVisor

Category Popularity

0-100% (relative to SHIELD and DataVisor)
Fraud Detection And Prevention
eCommerce
0 0%
100% 100
Fraud Prevention
79 79%
21% 21
Fraud Protection
100 100%
0% 0

Questions and Answers

As answered by people managing SHIELD and DataVisor.

What makes your product unique?

SHIELD's answer

Most fraud solutions are web-first and rely heavily on personal data and static identifiers that are easily bypassed. They are also often focused on addressing fraud at specific checkpoints. SHIELD is device-first. Fraudsters can spoof data, accounts, and even identities, but they always need a device to act. This is why we stop fraud at the root.

Why should a person choose your product over its competitors?

SHIELD's answer

Our plug-and-play SDKs and lightweight JavaScript snippets can be integrated in a matter of hours โ€” not weeks or months. Thereโ€™s no training period required, enabling your team to start detecting fraud immediately. Most customers see tangible results on day one, with zero disruption to existing workflows.

How would you describe your primary audience?

SHIELD's answer

SHIELD works with digital businesses across every region and industry where trust and safety are mission-critical. Our customers include global unicorns and fast-scaling platforms in mobility, fintech, e-commerce, igaming, digital identity, and more. If your platform faces fraud, or trust & safety challenges, SHIELD can help you eliminate malicious users and scale growth with confidence.

Which are the primary technologies used for building your product?

SHIELD's answer

SHIELD deliver real-time device intelligence globally, with offices in San Francisco, Singapore, Jakarta, Dubai, London, Sรฃo Paulo, and more. We are a global team, which helps us stay close to the latest fraud trends, and our clients.

Who are some of the biggest customers of your product?

SHIELD's answer

inDrive, Truemoney, Maya, Swiggy, Buymed, Atlas, MPL,

User comments

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What are some alternatives?

When comparing SHIELD and DataVisor, you can also consider the following products

SEON - SEON Sense Platform is a modular and AI-powered fraud detection software that deliver clear results with an automated, machine-driven workflow.

Signifyd - Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores.

Kount - eCommerce fraud detection & prevention

Riskified - eCommerce fraud prevention solution and chargeback protection guarantee for online merchants. Find out how we can help your company boost revenue from online sales using our machine-learning powered eCommerce fraud protection software.

FingerprintJS - Fraud detection and prevention using browser fingerprinting with 99.5% accuracy. Stops account sharing, payment processing fraud and gaming.

Sift - Digital Trust & Safety enables your business to grow, innovate, introduce new products, features, and business models โ€“ without increased risk.