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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 CyberSiARA?

In the world of fraud prevention, prioritizing proactive measures is significantly more cost-effective than addressing issues after they arise. The CyberSiARA system utilizes sophisticated traffic testing methodologies, facilitating a forward-looking cybersecurity approach that effectively mitigates fraudulent actions. Through its traffic classification capabilities, the system differentiates between legitimate users and potential threats in real-time by employing interactive enforcement challenges, quickly neutralizing risks from both automated systems and human attackers before they can exploit any weaknesses. By leveraging powerful traffic analysis techniques, CyberSiARA identifies user intent and detects fraud indicators within traffic patterns. When suspicious behavior surfaces, the system promptly initiates interactive challenges to verify traffic legitimacy, ensuring that authentic users enjoy seamless access without interruption. Furthermore, it adeptly counters threats from diverse origins by identifying and neutralizing traffic designed to circumvent authentication processes through innovative challenge techniques. This all-encompassing strategy not only bolsters security but also cultivates trust among users interacting with online services, ultimately contributing to a safer digital environment. Moreover, this proactive stance reflects a deep commitment to safeguarding user experiences in an increasingly complex online landscape.

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Integrations Supported

.NET
Angular
Drupal
HTML
Java
Laravel
Node.js
Nuxt
OpenCart
PHP
WordPress

Integrations Supported

.NET
Angular
Drupal
HTML
Java
Laravel
Node.js
Nuxt
OpenCart
PHP
WordPress

API Availability

Has API

API Availability

Has API

Pricing Information

$79/month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ShieldLabs Inc

Date Founded

2025

Company Location

United States

Company Website

shieldlabs.ai/

Company Facts

Organization Name

CyberSiARA

Date Founded

2018

Company Location

United Kingdom

Company Website

www.cybersiara.com

Categories and Features

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Categories and Features

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