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features
design
support

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Description

H3M KROTON modules seamlessly integrate with traditional rule-based compliance systems, enhancing them through the use of Artificial Intelligence. Rather than merely aiding companies in compliance, H3M shifts the focus, positioning crime detection as a secondary benefit. Unlike most platforms, H3M is architected specifically to identify concealed connections that facilitate crime prevention, thereby yielding superior compliance, improved regulatory relationships, a competitive edge, and increased brand value as beneficial side effects. The KROTON suite boasts four AI-driven modules that effectively merge compliance expertise with data science. H3M KROTON Suspect Miner tackles the significant challenges posed by older systems through its innovative machine-learning strategy that employs active learning techniques. This technology can reduce false positives by two-thirds and consistently identifies new laundering tactics. By integrating the insights of analysts with AI capabilities through active learning, H3M enhances machine performance with proactive labeling, ultimately fostering a more robust compliance framework. As a result, organizations can expect not just compliance, but also a significant transformation in their approach to risk detection and management.

Description

Combat money laundering and terrorist financing through the use of AI, machine learning, intelligent automation, and sophisticated network visualization techniques. By staying proactive against evolving risks and regulatory changes, SAS® has supported financial institutions in achieving over 90% accuracy in their models, cutting down false positives by as much as 80%, and boosting the SAR conversion rate by four times. With the capability to swiftly identify intricate and emerging threats related to money laundering and terrorist financing, advanced network and entity generation procedures automatically create network diagrams that unveil concealed connections. Furthermore, advanced analytics facilitate entity resolution by analyzing various data sources and references linked to a customer, addressing inconsistencies, errors, abbreviations, and fragmented records to ascertain if they pertain to the same entity. Additionally, empower AML investigators with a seamless, adaptable, and user-friendly alert and case management system that provides self-service options, enhancing efficiency and productivity in their workflows. This holistic approach ensures that financial institutions are not only compliant but also equipped to tackle future challenges head-on.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

SAS Data Loader for Hadoop
SAS Financial Crimes Analytics
SAS MDM

Integrations

SAS Data Loader for Hadoop
SAS Financial Crimes Analytics
SAS MDM

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

H3M Analytics

Country

United States

Website

h3m.io/kroton-suspect-miner

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

www.sas.com/en/software/anti-money-laundering.html

Product Features

AML

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

Product Features

AML

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

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