Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Safeguard against account takeovers, fraudulent new accounts, and multifactor authentication fatigue with the capabilities of PingOne Protect. This solution assesses various attack vectors, assigns risk ratings, and offers valuable insights, enabling the activation of mitigation tools that thwart potential threats while ensuring that genuine users can authenticate without difficulty. By leveraging intelligence-driven policies, PingOne Protect amalgamates the outcomes of diverse risk indicators to derive a comprehensive risk score. This score is linked to specific policies that dictate the level of friction applied during user interactions, which may include techniques like CAPTCHA, password resets, selfie verifications, and push notifications. Enhance the effectiveness of each predictor, consolidate the predictors, integrate signals from external sources, and implement overrides as necessary. The predictors encompass bot detection, IP velocity, user velocity, anomalous velocity, user location discrepancies, IP reputation, usage of anonymous networks, risk behaviors of users, models of user-based risk, detection of new devices, identification of suspicious devices, and custom or third-party predictors, thereby providing a robust solution to manage risks effectively. By utilizing these comprehensive measures, organizations can significantly bolster their defenses against various forms of cyber threats.
API Access
Has API
No
API Access
Has API
No
Integrations
Abstract Security
No
JavaScript
Yes
Knak
No
Motileo
No
Streamline AI
No
Youverse
No
Integrations
Abstract Security
Yes
JavaScript
No
Knak
Yes
Motileo
Yes
Streamline AI
Yes
Youverse
Yes
Pricing Details
$17/month
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
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
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
Yes
Live Rep (24/7)
No
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
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Dregs LLC
Founded
2025
Country
United States
Website
dregs.com
Vendor Details
Company Name
Ping Identity
Founded
2002
Country
United States
Website
www.pingidentity.com/en/platform/capabilities/threat-protection/pingone-protect.html
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
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