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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Dregs offers fraud detection solutions specifically designed for SaaS applications. By utilizing a lightweight JavaScript tracking script, it fingerprints devices and records user interactions, scoring each identity based on four key dimensions: Humanity (detection of bots and automation), Authenticity (identification of fake profiles and temporary email addresses), Uniqueness (detection of duplicate accounts linked via shared devices, IP addresses, and sessions), and Behavior (comparison of user activity against expected behaviors). The scoring system is transparent, derived from individual observations by the analyzers that can be reviewed and adjusted, rather than relying on a vague risk score. Alerts can be configured to notify teams via a dashboard, email, Slack, or webhooks, and the implementation process is structured in four stages — Scoring, Alerts, Escalation, and Autonomy — ultimately allowing for automated responses such as rate limiting and account quarantining. Dregs effectively addresses issues such as free-trial exploitation, fraudulent promotions and referrals, duplicate account creation, stolen credit card testing, SMS pumping, credential stuffing, and data scraping. Additionally, the setup process is user-friendly, featuring a self-serve model that includes a free trial and clearly outlined pricing options, making it accessible for teams to integrate into their operations. This comprehensive approach ensures that businesses can protect themselves against various forms of fraud effectively.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

JavaScript Yes 

Integrations

JavaScript No 

Pricing Details

$17/month
Free Trial Yes 
Free Version No 

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) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Dregs LLC

Founded

2025

Country

United States

Website

dregs.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 

Alternatives

Alternatives

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