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The Difference between Rules and AI in AML Technology

AI offers a new approach to AML risk detection. In this article, we discuss how AI improves on rules-based AML technology.

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Artificial Intelligence (AI) is essential for detecting financial crime. We explain how AI helps AML investigators reduce false positives and mitigate risk earlier.

Hawk Chartis

Hawk AI has been selected by Chartis as a leading financial crime and compliance technology vendor in 2024.

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At an ACAMS NY chapter event, Chris Caruana discussed how AI technology can optimize AML programs and processes. 

Inypay chooses HAWK:AI

Hawk AI, the leading provider of AI-supported solutions for anti-money laundering (AML) and fraud detection, has been chosen by Inypay to deliver its anti-financial crime platform.

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Learn how Hawk AI helps clients ensure the effectiveness, accuracy, and compliance of systems in their AML model validation process. 

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Michael Shearer, Former Group Head of Compliance Product Management at HSBC, will share his experiences in Insights from a Global Banking Expert: Using AI to Detect Financial Crime.

Hawk AI Award Winner XCelent Awards

Hawk AI is the only supplier from 22 profiled companies to receive the XCelent Advanced Technology 2024 award.

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How is Neonomics using AML compliance technology from Hawk AI to deliver the next generation of payments and financial services across Europe?

Robin Lee, General Manager of APAC for Hawk AI

Hawk AI today announces the appointment of Robin Lee as General Manager for the Asia-Pacific (APAC) region. 

4 Essential AML Use Cases for AI Technology

Built-for-purpose AI technology helps banks identify suspicious activity in real-time, at scale via Anomaly Detection, Pattern Detection, False Positive Reduction, and pKYC use cases.

What the EU AI Act means for AML and Fraud Prevention

Learn how the EU AI Act could impact banking AML and fraud processes, and how technology can address its requirements.