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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 Google Cloud Anti Money Laundering AI?

Google Cloud’s Anti Money Laundering AI (AML AI) presents an advanced solution tailored to enhance the detection and prevention of money laundering within financial organizations. Leveraging machine learning algorithms that are specifically adapted to an institution’s unique data, AML AI serves to either supplant or augment traditional rules-based transaction monitoring systems, resulting in a more comprehensive and accurate assessment of potential risks. This groundbreaking approach has shown the capability to identify roughly 2 to 4 times more validated suspicious activities while reducing false positives by over 60%, thereby allowing compliance teams to focus their efforts on high-risk and actionable alerts. The platform not only produces explainable risk scores but also provides detailed analyses of essential risk indicators, simplifying the interpretation process for analysts, risk managers, and auditors. Additionally, AML AI adheres to model governance standards to ensure strict compliance, and it has been adopted as a primary transaction monitoring system across various regions, further emphasizing its significance within the financial landscape. As financial institutions increasingly seek efficient compliance solutions, AML AI emerges as an indispensable asset in their fight against money laundering, ultimately contributing to a more secure financial system. With its innovative features and adaptability, AML AI continues to redefine compliance strategies within the sector.

Media

Media

Integrations Supported

Automation Anywhere
JSON
Pega CRM
Quantexa
SAS Data Loader for Hadoop
SAS Financial Crimes Analytics
SAS MDM
WorkFusion

Integrations Supported

Automation Anywhere
JSON
Pega CRM
Quantexa
SAS Data Loader for Hadoop
SAS Financial Crimes Analytics
SAS MDM
WorkFusion

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/anti-money-laundering-ai

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

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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