IPQS Device Fingerprinting

IPQS Device Fingerprinting

IPQualityScore From United States

IPQS Device Fingerprinting is an advanced software solution that provides over 300 data points to effectively identify and mitigate fraudulent activities. By analyzing device-specific attributes like operating system and screen resolution, it tracks users across browsers and IP addresses, detecting bots, fake accounts, and high-risk behavior in real-time. The solution is easily integrable via JavaScript or SDKs for mobile platforms, ensuring robust protection against sophisticated fraud techniques.

Top IPQS Device Fingerprinting Alternatives

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1 Entrust Identity Essentials

Entrust Identity Essentials

Designed for Windows-based environments, this device fingerprinting software offers a fast and cost-effective multi-factor authentication (MFA) solution. Organizations can start with an easy-to-deploy on-premises setup, seamlessly integrating additional authentication methods like device fingerprint and mobile push, while fostering a Zero Trust security strategy.

Entrust From United States
2 QuickSet Cloud Device Knowledge Graph

QuickSet Cloud Device Knowledge Graph

A global device knowledge graph organizes extensive information about home devices, including brand names, model numbers, capabilities, and compatible devices. By utilizing advanced algorithms, it enhances user interaction, providing context to commands and facilitating dynamic discovery of nearby devices. This graph continually updates, ensuring accurate representation of both new and existing technologies.

QuickSet Cloud From United States
3 Verisoul Device Fingerprinting

Verisoul Device Fingerprinting

Verisoul Device Fingerprinting employs advanced technology to create multiple probabilistic fingerprints, enabling precise user account matching while minimizing false positives. By analyzing device, browser, and network characteristics, it effectively detects multi-accounting and fraud. This solution identifies anomalies and validates genuine data, ensuring reliable user identification across various browsers and devices.

Verisoul From United States
4 DeviceID

DeviceID

DeviceID is a machine learning-driven platform that uncovers user traffic, enabling precise identification even when anonymity is attempted. It detects attacks and bots while providing real-time analytics. Each device is assigned a persistent identifier, along with extensive device insights, including browser version, operating system, and risk assessments, enhancing user recognition across sessions.

DeviceID From United States
5 Synthient

Synthient

Synthient empowers teams to build fraud-resistant applications by providing real-time threat detection and risk monitoring. With advanced device fingerprinting and immediate alerts for leaked credentials and suspicious activity, organizations can effectively block fraudsters and safeguard their platforms, ensuring a seamless user experience while managing deceptive traffic effortlessly.

Synthient From United States
6 TrustDecision

TrustDecision

TrustDecision offers advanced device fingerprinting software that accurately identifies unique devices by analyzing over 150 parameters, including hardware configurations and software settings. This technology not only enhances fraud detection but also strengthens user authentication and personalized marketing efforts, ensuring secure interactions across e-commerce and financial sectors while adapting to evolving threats and privacy concerns.

TrustDecision From Singapore
7 Fingerbank

Fingerbank

A revolutionary toolset for identifying networking devices, Fingerbank utilizes device fingerprints to enhance network security. By analyzing communication patterns and behaviors, it detects anomalies and assists Network Access Control solutions in managing access based on device types. The Fingerbank Collector meticulously compiles device data, ensuring precise identification through advanced algorithms.

8 Trustfull

Trustfull

This innovative platform enhances fraud prevention by analyzing a multitude of digital signals, including phone numbers, emails, and IP addresses. Its advanced machine learning algorithms identify and combat diverse threats, such as account takeovers and synthetic identities, while seamlessly integrating into applications through a single API for effortless risk management.

Trustfull From Italy
9 Covery Device Fingerprinting

Covery Device Fingerprinting

Covery Device Fingerprinting empowers businesses to detect fraud from the initial user interaction. By integrating a simple script into payment or web pages, companies receive unique cryptographic hashes, enabling real-time risk assessment. This innovative technology enhances fraud prevention, streamlines processes, and leverages a dynamic database of 30 million ID reputation records for informed decision-making.

Covery From Cyprus
10 CredoLab

CredoLab

CredoLab's device fingerprinting software harnesses first-party metadata from mobile apps and websites to provide predictive scores and nuanced insights. By analyzing smartphone behaviors and user patterns, it empowers businesses to make informed decisions, reduce credit risk, enhance fraud detection, and optimize marketing strategiesโ€”all with a commitment to user privacy.

Credolab From Singapore
11 C-Prot Device Fingerprint

C-Prot Device Fingerprint

C-Prot Device Fingerprint provides a robust solution for securely identifying users and analyzing web traffic. It enhances user experience by creating a unique browser fingerprint through various features, such as language settings and screen resolution. This technology effectively detects identity theft, fraudulent activities, and ensures high-level security across all devices.

C-Prot From Turkey

Company Information

  • Company: IPQualityScore
  • Country: United States

Top IPQS Device Fingerprinting Features

  • Real-time fraud scoring
  • Cross-device tracking
  • Over 300 data points analyzed
  • Detects bots and fake accounts
  • Machine learning algorithms
  • SDKs for iOS and Android
  • JavaScript integration
  • Custom blacklisting and whitelisting
  • High confidence fraud signals
  • User behavior analysis
  • Advanced device ID tracking
  • Location spoofing detection
  • Multi-device fingerprinting
  • Fraudulent transaction identification
  • Comprehensive threat network
  • No onboarding fees
  • 24/7 support availability
  • Easy integration process
  • Accurate risk assessment
  • Adaptive learning from user data