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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 Anomalia?

Anomalia® utilizes its distinctive AI algorithms to detect potential fraud, risks, conflicts, and non-compliance in financial and legal transactions with meticulous precision. By analyzing both customer transaction data and behavioral trends, their anomaly detection system for ACH transactions successfully identifies irregularities, thereby preventing fraudulent actions. Moreover, Anomalia® verifies the authenticity of mobile check deposits by scrutinizing the checks, the accounts involved, and the geographic locations of the deposits to pinpoint suspicious activities. In the case of wire transactions, the company assesses both the sources and recipients of funds, applying anomaly scores from previous wire transfers to uncover and avert possible fraud. Additionally, Anomalia® performs rigorous evaluations of various transactions and entities, along with their relationships, to enhance due diligence processes aimed at detecting possible money laundering schemes. This comprehensive and multi-layered approach not only protects the integrity of financial systems but also fosters greater trust among stakeholders. Ultimately, Anomalia® stands as a leader in implementing advanced technological solutions to combat financial crime effectively.

Media

Media

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

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

Scry AI

Date Founded

2014

Company Location

United States

Company Website

scryai.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

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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