Anomalia

Anomalia

Scry AI
aiReflex

aiReflex

Fraud.com
+
+
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Platforms Supported

Windows
Mac
Linux
SaaS / Web
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
SaaS / Web
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises looking for an AI-based anomaly and fraud detection solution for their financial transactions

Audience

Enterprises interested in a fraud detection and prevention to protect customers, reduce fraud losses and enable better decisions

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Scry AI
Founded: 2014
United States
scryai.com

Company Information

Fraud.com
Founded: 2022
United Kingdom
www.fraud.com/products/aireflex-fraud-detection-and-prevention

Alternatives

Alternatives

FOCAL

FOCAL

Mozn
SEON

SEON

SEON. Fraud Fighters

Categories

Categories

AML Features

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Fraud Detection Features

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For eCommerce
For Insurance Industry
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Integrations

Amazon EC2
Amazon Web Services (AWS)
Udentify
fcase

Integrations

Amazon EC2
Amazon Web Services (AWS)
Udentify
fcase
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