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What is ShieldLabs?

ShieldLabs excels in identifying and preventing fraudulent activities while simultaneously assessing traffic quality through advanced scoring techniques. The company effectively addresses challenges like multi-accounting, account sharing, account takeovers, fake registrations, and advertising fraud. Utilizing a single JavaScript snippet, ShieldLabs captures over 100 unique signals from devices and networks with every visit, enabling thorough cross-verification that uncovers complex masking strategies and achieves an impressive detection accuracy of up to 99%. It can effortlessly recognize returning users, even when they have cleared their cookies, used incognito modes, or connected via different IP addresses, while also tracking linked users across various accounts and devices. Instead of merely applying a binary flag, the system categorizes a range of elements such as VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation tools, bots, and AI agents as distinct signals. Each visitor, user, device, and IP is assigned a unique risk score, with established patterns addressing prevalent fraud scenarios like multi-accounting, account sharing, account takeovers, and impossible travel incidents, and traffic quality is assessed based on its origin, channel, and campaign. Setting up this solution is a quick process, taking only five minutes and including client and server SDKs, public APIs, and signed webhooks, which makes it an appealing choice for businesses eager to bolster their security quickly. Consequently, organizations can effectively establish strong defenses against fraud while ensuring a smooth and uninterrupted user experience for their customers. Additionally, this comprehensive approach allows businesses to adapt and respond to emerging threats in real time, further enhancing their protective measures.

What is Arkose Labs?

Arkose Labs offers a robust enforcement solution that deters fraudsters from continuing their malicious activities. Their cutting-edge step-up authentication approach introduces risk-based friction, which not only exhausts the resources of fraudsters but also enables genuine customers to effortlessly verify their identity. The enforcement mechanism acts as a challenge-response system that collaborates with Telemetry to validate unfamiliar requests. As a result, digital enterprises can trust that only authentic interactions are processed within their systems. By redirecting the attack surface to their own platform, Arkose Labs creates an intermediary space that allows for the independent assessment of any suspicious sessions. This intervention effectively establishes a protective barrier between fraudsters and the websites they typically target, fundamentally altering the dynamics of how attacks are orchestrated. Consequently, businesses can preserve their valuable resources and focus on growth rather than constantly fighting off attacks. Moreover, this system enhances their overall security posture, empowering them to operate with greater confidence in a digital environment fraught with risks.

Media

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Media

Integrations Supported

Integrations Supported

Anti-Captcha
Arkose MatchKey

API Availability

Has API

API Availability

Pricing Information

$79/month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

ShieldLabs Inc

Date Founded

2025

Company Location

United States

Company Website

shieldlabs.ai/

Company Facts

Organization Name

Arkose Labs

Date Founded

2008

Company Location

United States

Company Website

www.arkoselabs.com

Categories and Features

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Crypto
For eCommerce
Pattern Recognition

Categories and Features

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

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