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Description
RiskCogs serves as a payment-fraud risk assessment module tailored for online enterprises. It analyzes various signals including payment information, device data, identity verification, IP addresses, and user behavior to generate understandable risk scores and context related to linked accounts for transaction evaluations. Fraud detection and operations teams have the ability to examine signals and associated accounts within a review queue, set customizable thresholds and rules, and experiment with rule modifications in a shadow mode prior to their implementation. Developers can utilize a browser SDK and server API to submit transaction details and obtain assessments, while webhooks facilitate the reporting of assessment events, and a feedback API allows for the submission of subsequent outcomes such as chargebacks. RiskCogs is crafted to integrate risk-related context seamlessly with existing payment processing systems, empowering merchants to set their own decision-making thresholds and actions. Applications of this module encompass payment fraud analysis, card testing, account takeovers, multi-accounting issues, and subscription fraud. The features available to users and the extent of access are contingent upon the specific account configuration. As such, businesses utilizing RiskCogs can enhance their fraud prevention strategies significantly.
Description
ShieldLabs specializes in detecting and preventing fraud while also evaluating traffic quality through sophisticated scoring methods. It effectively combats issues such as multi-accounting, account sharing, account takeovers, fake signups, and ad fraud.
By employing a single JavaScript snippet, it gathers over 100 distinct device and network signals during every visit, allowing for comprehensive cross-verification that reveals sophisticated masking techniques and achieves an impressive detection accuracy of up to 99%. Returning users are identified seamlessly, even when using cleared cookies, incognito browsing, or different IP addresses, while linked users can be tracked across multiple accounts and devices.
Various elements such as VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation tools, bots, and AI agents are all categorized as specific signals instead of being reduced to a simple binary flag. Each visitor, user, device, and IP is assigned a unique risk score, and predefined patterns address common fraud scenarios like multi-accounting, account sharing, account takeovers, and impossible travel incidents, with traffic quality evaluated based on its source, channel, and campaign.
Integrating the solution takes just five minutes and includes client and server SDKs, a public API, and signed webhooks, making it accessible for businesses looking to enhance their security measures rapidly. As a result, organizations can swiftly implement robust defenses against fraud while maintaining a seamless user experience.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
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Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
€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 Trial
No
Free Version
Yes
Pricing Details
$79/month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Orsun Tech OÜ
Founded
2026
Country
Estonia
Website
riskcogs.com
Vendor Details
Company Name
ShieldLabs Inc
Founded
2025
Country
United States
Website
shieldlabs.ai/
Product Features
Fraud Detection
Access Security Management
No
Check Fraud Monitoring
No
Custom Fraud Parameters
No
For Banking
No
For Crypto
No
For Insurance Industry
No
For eCommerce
No
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
No
Transaction Approval
No
Product Features
Fraud Detection
Access Security Management
Yes
Check Fraud Monitoring
Yes
Custom Fraud Parameters
Yes
For Banking
No
For Crypto
Yes
For Insurance Industry
No
For eCommerce
Yes
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
Yes
Transaction Approval
No