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Ratings and Reviews 0 Ratings
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What is SAS Financial Crimes Analytics?
SAS Financial Crimes Analytics serves as a cloud-driven platform aimed at bolstering Anti-Money Laundering (AML) efforts by utilizing artificial intelligence and machine learning to streamline compliance operations. This groundbreaking solution enables financial organizations to more efficiently detect and prevent financial crimes while reducing the occurrence of false positives, automating investigations, and improving overall detection efficacy. Users benefit from features that facilitate data exploration and visualization, allowing for easy importing, transforming, and integrating of data through a user-friendly drag-and-drop interface. Moreover, it accelerates the deployment of analytical models via automated processes, making it suitable for both batch processing and real-time applications. The system integrates effortlessly with existing transaction monitoring frameworks, eliminating the need for major revisions to current AML systems. In addition, it harnesses sophisticated analytical tools, including network and text analytics, to deliver a thorough understanding of risk factors, enabling institutions to stay responsive to the changing dynamics of financial crime threats. This comprehensive strategy not only enhances compliance measures but also fortifies the institution’s overarching risk management framework, ensuring better protection against emerging risks. Ultimately, SAS Financial Crimes Analytics represents a pivotal advancement in the fight against financial crime, equipping institutions with the necessary tools to navigate an increasingly complex environment.
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.
Integrations Supported
Automation Anywhere
JSON
Pega CRM
Quantexa
SAS Anti-Money Laundering
WorkFusion
Integrations Supported
Automation Anywhere
JSON
Pega CRM
Quantexa
SAS Anti-Money Laundering
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
Date Founded
1976
Company Location
United States
Company Website
www.sas.com/en_us/software/financial-crimes-analytics.html
Company Facts
Organization Name
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
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
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)