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Average Ratings 0 Ratings

Total
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

To minimize bad debts and the expenses associated with collection and recovery, it is crucial to steer clear of assigning risk segments to applicants who misrepresent their information on applications. It's important to keep serious fraud losses and write-offs from fraudulent applicants as low as possible. Ensuring that fraud detection does not hinder customer service or slow down decision-making is essential. This involves scrutinizing suspicious cases, reviewing application assessment outcomes, and making informed decisions. Streamlining fraud detection and investigative processes through automation can significantly enhance efficiency. User-friendly interfaces are vital to ensure low resource demands and operational costs. Additionally, the system should automatically allocate cases for further investigation and assign a fraud likelihood score to help prioritize actions. Implementing these measures will ultimately lead to more effective fraud management.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

JavaScript

Integrations

JavaScript

Pricing Details

$17/month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Dregs LLC

Founded

2025

Country

United States

Website

dregs.com

Vendor Details

Company Name

Scorto

Founded

2001

Country

United States

Website

www.scorto.com

Product 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

Product 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

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