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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Anomalia® employs its unique AI algorithms to uncover possible fraud, risks, conflicts, and non-compliance within financial and legal transactions at a granular level. Their anomaly detection for ACH transactions utilizes both customer transaction data and behavioral patterns to spot irregularities, effectively thwarting fraudulent activities. Additionally, Anomalia® assesses the legitimacy of mobile check deposits by examining the checks themselves, the accounts receiving them, and their geographical deposit locations to identify potential fraudulent behavior. In the realm of wire transactions, Anomalia® evaluates the origins and beneficiaries alongside their anomaly scores derived from other wire transfers to recognize and prevent possible fraud. Furthermore, Anomalia® conducts thorough analyses on a variety of transactions, entities, and their interconnections to bolster due diligence efforts aimed at identifying potential money laundering activities. This multi-faceted approach ensures a comprehensive strategy for safeguarding financial integrity.

Description

Anticipate issues before they arise by utilizing an Azure AI anomaly detection service. This service allows for the seamless integration of time-series anomaly detection features into applications, enabling users to quickly pinpoint problems. The AI Anomaly Detector processes various types of time-series data and intelligently chooses the most effective anomaly detection algorithm tailored to your specific dataset, ensuring superior accuracy. It can identify sudden spikes, drops, deviations from established patterns, and changes in trends using both univariate and multivariate APIs. Users can personalize the service to recognize different levels of anomalies based on their needs. The anomaly detection service can be deployed flexibly, whether in the cloud or at the intelligent edge. With a robust inference engine, the service evaluates your time-series dataset and automatically determines the ideal detection algorithm, enhancing accuracy for your unique context. This automatic detection process removes the necessity for labeled training data, enabling you to save valuable time and concentrate on addressing issues promptly as they arise. By leveraging advanced technology, organizations can enhance their operational efficiency and maintain a proactive approach to problem-solving.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure AI Metrics Advisor
Bing
CTM360
Compliance Warden
Crestwood Cloud
Microsoft Azure
Microsoft Office 2021
Qualio
Rayven
groundcover

Integrations

Azure AI Metrics Advisor
Bing
CTM360
Compliance Warden
Crestwood Cloud
Microsoft Azure
Microsoft Office 2021
Qualio
Rayven
groundcover

Pricing Details

No price information available.
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

Scry AI

Founded

2014

Country

United States

Website

scryai.com

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/ai-services/ai-anomaly-detector/

Product Features

AML

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

Financial Risk Management

Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation

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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