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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.

What is Fincom.Co?

Fincom has introduced innovative "phonetic fingerprint" technology that enables quick identification of entities based on their name, pronunciation, or "name-sound," all stemming from a unified mathematical model. This advanced capability for "accurate name matching" not only leads to substantial reductions in operational costs and lessens the likelihood of incurring fines, but it also enhances credibility and protects your business's reputation. Utilizing automated real-time systems that leverage AI-ML layers, this technology employs over 48 intricate mathematical algorithms to provide precise name matching across 38 languages, effectively addressing various transliterations and spelling variations. The product suite encompasses solutions for accurate name matching, seamless onboarding and ongoing monitoring automation, transaction screening, and adverse media analysis, including level 1 and 2 filtering alongside optimization engines. Furthermore, the technology verifies beneficiaries in payment transactions against actual bank account holders to prevent CEO and invoice fraud. By integrating customer data into a cohesive view, it enables the development of comprehensive customer risk profiles, improves insight into potential exposure, and aids in forecasting risks, ultimately resulting in better-informed decision-making. In this way, Fincom's technology not only streamlines processes but also enhances overall operational efficiency.

Media

Media

Integrations Supported

Automation Anywhere
Capgemini Intelligent Automation Platform
Cognizant
Fusion Essence
JSON
Microsoft 365
Pega CRM
Quantexa
WorkFusion

Integrations Supported

Automation Anywhere
Capgemini Intelligent Automation Platform
Cognizant
Fusion Essence
JSON
Microsoft 365
Pega CRM
Quantexa
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

Google

Date Founded

1998

Company Location

United States

Company Website

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

Company Facts

Organization Name

Fincom.Co

Date Founded

2016

Company Location

Israel

Company Website

fincom.co

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)

Categories and Features

AML

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

GDPR Compliance

Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

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