Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Moonsense empowers users to identify advanced fraud tactics by offering instant access to actionable insights and detailed source data, thereby improving fraud detection while minimizing inconvenience for users. By leveraging user behavior and network intelligence, it is possible to uncover a user’s distinctive digital fingerprint, akin to an individual's actual fingerprint. In an era marked by frequent data breaches, this unique digital signature proves to be effective in identifying complex fraud patterns without burdening the user experience. Among various types of fraud, identity theft remains prevalent. During the process of account creation, there exists a typical behavioral pattern that can be analyzed. By scrutinizing the user's digital signals, accounts that deviate from established norms can be flagged for further investigation. Moonsense is committed to equalizing the odds in the battle against online fraud, ensuring that organizations can protect their users effectively. A single integration opens the door to comprehensive insights into both user behavior and network dynamics. Ultimately, this innovative approach not only enhances security but also fosters trust between users and service providers.
Description
Resistant AI is a document fraud detection and transaction monitoring software company. We protect fintechs and other institutions from fraud and financial crimes.
Resistant AI’s document fraud detection software "Resistant Documents" can check all document types (from any country) for fraud and authenticity in just a few seconds! Give your risk, fraud, and compliance teams bionic eyes, spotting nearly-invisible fraud in bank statements, invoices, pay stubs, utility bills, and all other documents.
Our transaction monitoring software "Resistant Transactions" upgrades your existing TM system, unlocking the value in your existing tech stack (and data). No need to add new screens or retrain your staff. Our 80+ off-the-shelf AI models detect advanced fraud and money laundering behaviors in under 50 milliseconds (before transactions occur) with full explainability.
Customers see a 3x increase in doc fraud prevention, 5x faster review times, 90% cut in manual reviews, and a 5x increase in second line analyst productivity.
API Access
Has API
No
API Access
Has API
Yes
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
Yes
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)
No
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
Moonsense
Country
United States
Website
www.moonsense.io
Vendor Details
Company Name
Resistant AI
Founded
2019
Country
Czechia
Website
resistant.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
AML
Behavioral Analytics
No
Case Management
No
Compliance Reporting
No
Identity Verification
No
Investigation Management
No
PEP Screening
No
Risk Assessment
No
SARs
No
Transaction Monitoring
No
Watch List
No
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