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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 Ripjar?

Ripjar is an advanced platform that utilizes artificial intelligence to deliver risk and compliance intelligence for a variety of entities, such as corporations, financial institutions, governmental organizations, and security teams, allowing them to efficiently identify, monitor, and analyze threats and risks linked to individuals, entities, and data on a broad scale. By employing state-of-the-art machine learning, natural language processing, and sophisticated entity resolution methods, Ripjar integrates and assesses both structured and unstructured data from a multitude of sources, including sanctions and watchlists, adverse media, internal documents, transactions, and other external information, creating dynamic risk profiles that update in real-time; this significantly reduces the occurrence of false positives and negatives when compared to traditional screening techniques. Among its features are AML name screening and monitoring solutions that consolidate various compliance results into a unified overview, adverse media screening that reveals concealed and reputational risk indicators, and third-party risk management that continuously assesses compliance, ethical, prudential, and supply chain risks, thereby providing a thorough approach to risk evaluation. Furthermore, Ripjar's platform is engineered to adjust to shifting threats, ensuring its continued efficacy in an environment marked by growing complexity and stringent regulatory requirements. This adaptability is crucial for organizations aiming to stay ahead of potential risks in an ever-evolving landscape.

Media

Media

Integrations Supported

SAS Data Loader for Hadoop
SAS Financial Crimes Analytics
SAS MDM

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online 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

Ripjar

Date Founded

2013

Company Location

United Kingdom

Company Website

ripjar.com

Categories and Features

AML

Behavioral Analytics
Compliance Reporting
Investigation Management
Risk Assessment
SARs
Watch List

Categories and Features

AML

Not specified

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