Anti-Money Laundering

Chasing UBOs with the Open Ownership Register: 9.7M beneficial owners and 8.8M companies in OpenScreening

Beneficial owner data from Open Ownership and information on sanctioned entities from OpenSanctions help identify the risky entities

Reducing AML false positives with graph and AI technology

Graph visualization and AI can enhance existing AML setups to improve efficiency and reduce the number of AML false positives. Here's how.

How to choose a detection and investigation solution for financial crime

The right financial crime detection and investigation solution can help manage key challenges and improve efficiency. How should you choose?

Forensic data analytics: new technology for financial crime investigation and risk management

In the face of complex financial crime, forensic data analytics is emerging as a key asset in the future of investigation and risk management

Money laundering through online gambling: spotting a criminal scheme

Online gambling is attractive for money launderers. Here are some of the most common schemes and how to investigate them.

Towers of cash: investigating money laundering through real estate

Why is real estate so attractive for money launderers? What are common money laundering red flags for real estate transactions?

How to use OSINT for AML investigations: the power of network visualization

Using OSINT alongside network visualization can bring speed and context to your AML investigations. Here's how.

Mule accounts and money laundering: how to eliminate blindspots in detection and investigation

Mule accounts are a common money laundering tactic. Here's how to eliminate detection and investigation blindspots.

Sanctions on Russia: how graph analytics can help you stay compliant

The sanctions landscape is changing quickly. Having the right tools can help you stay on top of shifting sanctions.

How to facilitate PEP screening and reduce compliance risk with network analysis

Graph analytics can help you gain speed and accuracy in PEP screening, reducing risk for your organization. Here's how.

How to overcome sanctions screening challenges

Sanctions screening is a high stakes part of any AML compliance program. Here's how technology can help solve the biggest challenges.

AML compliance changes are coming. Is your organization ready?

What do changing AML compliance mean for your organization? And how can you make sure you’re ready now and in the future?

Simplifying UBO identification and verification with graph visualization and analytics

Relying on graph analytics to identify UBOs is faster and easier traditional verification methods. Here's how it works.

Anti-money laundering: using new analytics technology to uncover hidden criminal networks

Here's how new AML analytics techniques show a 360-degree view of clients to more quickly investigate money laundering and financial crime

AML compliance: New technologies to fight back against money laundering networks

Graph analytics goes beyond traditional AML technology, offering the scale & flexibility required to unmask criminal networks.

Anti-money laundering use cases for graph analytics

Graph analytics quickly identifies suspicious connections in an AML investigation. Explore 8 AML use cases for graph.

AML and graph analytics: a match made in heaven

In this article we’ll dive into the problems with today’s AML compliance technology, how it impacts anti-money laundering and how graph analytics can help.

Reinforcing AML analysis systems with graph technology

Faced with an increase in complex financial crime, new technologies can reinforce AML analysis systems.

Investigating a money laundering scam

Organized criminals use complex money laundering scams to hide evidence of wrongdoing. Here's how graph tech can enhance your investigations.