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What is Nasdaq Verafin?

Nasdaq Verafin stands at the forefront of financial crime prevention by combining AI-driven technology with a collaborative consortium approach to deliver unmatched fraud detection and AML compliance. The platform addresses a wide spectrum of financial crimes including payments fraud, check fraud, wire fraud, online account takeovers, and loan fraud by analyzing over 1.1 billion transactions weekly from hundreds of sources. Its powerful consortium analytics enable institutions to pool their data, uncover hidden patterns, and detect fraud more accurately than isolated systems. Verafin’s suite of products also supports high-risk customer management, sanctions screening, and government benefits fraud detection, making it an all-encompassing solution for risk mitigation. Notably, the platform helped a major U.S. financial institution prevent nearly $10 million in potential fraud in just two months, showcasing its impact. Nasdaq Verafin also actively educates the financial community with reports, webinars, and eBooks on cutting-edge threats like human trafficking and emerging payment fraud trends. Industry recognition, such as the Chartis Risk Tech 100 award, highlights its innovative technology and market leadership. Their AI capabilities improve investigative workflows and reduce manual effort, which is critical as fraud schemes become more complex. Nasdaq Verafin continuously evolves its solutions to tackle new fraud typologies, including application fraud, cybercrime, and mule account detection. This dedication to innovation and collaboration makes Nasdaq Verafin a trusted partner for institutions looking to protect their assets and maintain regulatory compliance.

What is Hawk?

Hawk AI integrates artificial intelligence with traditional rule-based methods to effectively oversee financial transactions, ensuring that financial organizations adhere to anti-money laundering laws. This innovative solution incorporates standard rule-based frameworks that are further improved by auto-closing functionalities derived from machine-learning algorithms, which adapt based on the decisions made by investigators within the case management system. Utilizing unsupervised machine learning, Hawk AI employs Anomaly Detection to uncover emerging crime patterns by leveraging insights gathered from its extensive network across various financial institutions. The platform is designed to offer complete transparency regarding machine-generated decisions, which not only meets regulatory demands for "explainable" AI but also fosters confidence in its operations. Additionally, Hawk AI harnesses the power of artificial intelligence to enhance automation, resulting in substantial cost reductions and a remarkable 70% decrease in resource requirements, thereby elevating operational efficiency. This dual approach of combining traditional methods with cutting-edge technology ensures that Hawk AI remains at the forefront of compliance and fraud detection in the financial sector.

Media

Media

Integrations Supported

FPS GOLD Banking Software

Integrations Supported

Atfinity
Marengo

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Nasdaq

Date Founded

1971

Company Location

United States

Company Website

verafin.com

Company Facts

Organization Name

Hawk.ai

Date Founded

2018

Company Location

Germany

Company Website

hawk.ai

Categories and Features

AML

Behavioral Analytics
Case Management
Investigation Management
SARs

Check Fraud

Not specified

Fraud Detection

Not specified

Categories and Features

AML

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

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