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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 RiskCogs?

RiskCogs functions as a specialized module for assessing payment fraud risks, designed specifically for online businesses. It evaluates an array of signals, such as payment data, device information, identity verification, IP addresses, and user activity, to produce clear risk scores and contextual insights related to associated accounts during transaction assessments. Fraud detection and operations teams have the capability to scrutinize signals and linked accounts in a review queue, establish customizable thresholds and rules, and test rule adjustments in a shadow mode before full deployment. Developers can leverage a browser SDK and server API to relay transaction information and receive evaluations, while webhooks enable the communication of assessment events, and a feedback API supports the reporting of subsequent results like chargebacks. RiskCogs is designed to seamlessly integrate risk-related information with current payment processing systems, allowing merchants to determine their own decision-making thresholds and responses. The applications of this module range from payment fraud detection to card testing, account takeovers, multi-accounting issues, and subscription fraud. Furthermore, the features provided to users and the level of access granted are determined by the specific configuration of the account. Consequently, businesses that adopt RiskCogs can significantly bolster their strategies for preventing fraud while fostering a more secure online transaction environment. By doing so, they can better protect their assets and enhance customer trust.

Media

No images available

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$79/month
Free Version

Pricing Information

€0/month
Shadow: €0/month, capped at 500 risk decisions and 200 monthly active users; never billed. Starter: €49/month, including 5,000 decisions and 1,000 users; overages are €0.02 per decision and €29.95 per extra 1,000 users. Growth: €299/month, including 50,000 decisions and 10,000 users; overages are €0.005 per decision and €19.95 per extra 1,000 users. Enterprise pricing is custom. Prices are in EUR, billed monthly, excluding VAT. Availability, scope, and support commitments depend on account setup.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based 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

Orsun Tech OÜ

Date Founded

2026

Company Location

Estonia

Company Website

riskcogs.com

Categories and Features

Fraud Detection

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

Categories and Features

Fraud Detection

Not specified

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