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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 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

Automation Anywhere
JSON
Pega CRM
Quantexa
WorkFusion

Integrations Supported

Automation Anywhere
JSON
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

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

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

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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