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What is SAS Anti-Money Laundering?

Utilize AI, machine learning, intelligent automation, and advanced network visualization techniques to combat money laundering and terrorist financing. By proactively adapting to changing risks and regulatory requirements, SAS® has enabled financial institutions to achieve model accuracy exceeding 90%, reduce false positives by up to 80%, and increase SAR conversion rates by fourfold. The technology's ability to swiftly detect complex and emerging threats linked to money laundering and terrorist financing is enhanced by automated network and entity generation processes that produce network diagrams revealing hidden relationships. Moreover, advanced analytics streamline entity resolution by cross-referencing diverse data sources associated with a customer, correcting inconsistencies, addressing errors, and reconciling fragmented records to determine whether they refer to the same entity. Additionally, AML investigators are equipped with a flexible, intuitive alert and case management system that offers self-service capabilities, significantly improving workflow efficiency and productivity. This comprehensive strategy empowers financial institutions not only to maintain compliance but also to proactively confront future challenges, ensuring they remain resilient in an ever-evolving landscape. Ultimately, this positions them to better safeguard against financial crimes while enhancing their operational effectiveness.

What is AML Quppy Bot?

AML Quppy Bot is an innovative software solution that significantly improves security and compliance in cryptocurrency transactions and wallet management. Tailored for both individuals and enterprises operating within the digital asset industry, it provides an extensive set of tools for monitoring, verifying, and validating the legitimacy of all crypto-related activities. Utilizing a sophisticated algorithm, AML Quppy Bot systematically compares wallet addresses and transactions with a database filled with AML criteria, which encompasses known fraudulent patterns, blacklisted entities, and regulatory watchlists. This enables users to effectively pinpoint and address any potential risks linked to money laundering, terrorist financing, and other unlawful activities. Additionally, by implementing this technology, users can enhance their overall trustworthiness and reliability in the fast-evolving crypto landscape.

Media

Media

No images available

Integrations Supported

SAS Data Loader for Hadoop
SAS Financial Crimes Analytics
SAS MDM

Integrations Supported

SAS Data Loader for Hadoop
SAS Financial Crimes Analytics
SAS MDM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$2.5 USDT
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

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

Company Facts

Organization Name

AML Quppy Bot

Date Founded

2024

Company Website

quppyaml.com

Categories and Features

AML

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

Categories and 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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