Podcast: How to speed up AI solutions to target and identify money launderers
By IBS Intelligence - November 18, 2020
Explore: ai • anti-money laundering • artificial intelligence • fraud detection • podcast
Banks Explore Graph Technology to Tackle Data Complexity for Compliance
By Waters Technology - November 11, 2020
Explore: anti-money laundering • compliance • fraud detection • graph technology
ICIJ Turns to Big Data Tech to Unravel FinCEN Files
By Datanami - September 25, 2020
Explore: anti-money laundering • Financial Fraud Detection • FinCEN Files • fraud detection • graph database • Graph Database Technology • icij
#GraphCast: FinCEN Files – How Banks Move Dirty Money Around the World
By Enzo
September 25, 2020 < 1 min read
Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Editorial Assistant, Corin Gainey, gave us a quick start to Summer of Nodes with Neo4j Sandbox.… Read more →
Explore: AML • anti-money laundering • FinCEN • FinCEN Files • FinCEN investigation • fraud detection • icij • money laundering
Analyzing the FinCEN Files with Neo4j
By Jocelyn Hoppa
September 22, 2020 7 mins read
The ICIJ used Neo4j to expose a vast money laundering network running through Western banks. This blog analyzes the FinCEN Files data.
Explore: AML • anti-money laundering • cypher • Data Visualization • Financial Crimes Enforcement Network • FinCEN Files • graph data science • icij • Knowledge Graph • money laundering
Combating Money Laundering: Sprints with Money Queries
By David Penick
August 31, 2020 2 mins read
Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.
Explore: AML • anti-money laundering • Bloom • cypher • graph algorithms • graph data science • money queries
Combating Money Laundering: Enterprise AML Technology
By Deb Cameron
August 24, 2020 5 mins read
Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.
Explore: aml technology • anti-money laundering • financial crime • graph algorithms
From Know Your Customer to Know Your Network: A Paradigm Shift Empowered by Neo4j
By Jocelyn Hoppa
July 21, 2020 5 mins read
Discover how Neo4j shifted this company move to a “know your network” process to connect disparate data sources and conduct better analysis.
Explore: ai • anti-money laundering • data lake • json • know your customer • know your network • Panama Papers • paradise papers • tax evasion
7 Reasons Why Effective Compliance Management Is Only Possible with a Graph-Based Solution
By Allison Wu
June 10, 2020 15 mins read
Learn about the effects of money laundering, and why risk management – along with graph technology – helps protect financial and reputational damage.
Explore: AML • anti-money laundering • compliance and risk management • graph technology • graphconnect • layering • risk analysis • Security • solution • Structr
How graph technology can map patterns to mitigate money-laundering risk
By ScienceDirect - October 1, 2019
Explore: anti-money laundering • money laundering • money laundering compliance
Anti-Money Laundering Compliance with Graph Technology [Infographic]
By Jessica Baumgardner
November 5, 2019 < 1 min read
Money laundering is a major challenge for financial organizations. Learn how graph technology solves compliance challenges associated with money laundering.
Explore: anti-money laundering • fraud detection • Graph Databases • graph technology • money laundering • money laundering compliance
Anti Money Laundering Mess? How To Outsmart Villains By Understanding Their Networks
June 10, 2019
Explore: anti-money laundering • banking • Banking Fraud • money laundering
Graph technology — a powerful addition to the chief security officer’s arsenal
May 28, 2019
Explore: anti-fraud • anti-money laundering • banking • Banking Fraud • nordics
Connecting Compliance: 5-Minute Interview with Christian Tsambikakis
By Jocelyn Hoppa
May 3, 2019 2 mins read
Check out this 5-minute interview with Christian Tsambikakis, CEO of KERBEROS Compliance and learn how they use Neo4j for their compliance solution.
Explore: 5-minute interview • anti-money laundering • Christian Tsambikakis • compliance • financial services • graph database • Kerberos • neo4j • Structr
Wny Graph Database Could be the Answer to Europe’s Money Laundering Woes
April 4, 2019
Explore: anti-money laundering • bank fraud • banking • detecting fraud • graph database • nordics
Solving Scandinavia’s money laundering crisis
March 14, 2019
Explore: anti-money laundering • bank fraud • Claudia Remlinger • emil eifrem • money laundering • nordea • nordics • Scandinavian banks
This Week in Neo4j – Anti-Money Laundering Investigation, Replicating The GitHub GraphQL API, Getting Started with machine learning on graphs
By Mark Needham
January 5, 2019 4 mins read
Happy New Year everybody, and welcome to our first version of TWIN4j of 2019. I’d only just got used to writing the year as 2018! This is traditionally a quiet week, but we’ve still got some good stuff for you… Read more →
Explore: anti-money laundering • DeepMind • github • GraphQL • machine learning • Neo4j Community • real-time recommendations • twin4j
Fighting Money Laundering and Corruption with Graph Technology
By Jocelyn Hoppa
September 13, 2018 5 mins read
The shocking revelations of the International Consortium of Investigative Journalists (ICIJ), who released both the Panama and Paradise Papers, as well as the West Africa Leaks, have shown that aggressive tax avoidance and money laundering are a widespread and worldwide… Read more →
Explore: aml compliance • anti-money laundering • data journalists • graph algorithms • graph technology • graphconnect • Kerberos • native graph database • risk management • Structr
Financial Services & Neo4j: Anti-Money Laundering
By Bryce Merkl Sasaki
June 26, 2017 4 mins read
Reducing the risk of money laundering presents a similar challenge to that of fraud detection when it comes to today’s financial services landscape. Firms need to know where funds come from and where they are headed, but criminals use indirection… Read more →
Explore: AML • anti-money laundering • cypher • Data Visualization • financial services • fraud detection • graph technology • money transfer • smurfing • sql
Financial Services & Neo4j: Financial Asset Graphs
By Bryce Merkl Sasaki
May 24, 2017 4 mins read
In today’s regulatory environment, financial services firms are beginning to experience the impact of graph databases across a number of functions ranging from fighting financial crimes, preventing and responding to cyber threats and ensuring regulatory compliance. Meanwhile, as the continuous… Read more →
Explore: anti-money laundering • asset graph • cerved • credit rating agencies • credit risk analysis • financial asset • financial services • regulatory compliance • risk management • risk/reward ratio
Detect & Investigate Financial Crime Patterns with Linkurious
By Bryce Merkl Sasaki
October 7, 2016 5 mins read
Linkurious is a Bronze sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Using Graphs to Fight Financial Crime Financial crime can take many forms: money laundering, terrorism funding, corruption, tax evasion, insurance… Read more →
Explore: AML • anti-money laundering • cypher • financial crime • fraud detection • Geospatial • Insurance Fraud • Linkurious • tax evasion • terrorism funding
Graph Visualization for Everyone: Linkurious Enterprise V1
By Bryce Merkl Sasaki
October 15, 2015 3 mins read
Editor’s Note: Linkurious is a Bronze sponsor of GraphConnect San Francisco. Register for GraphConnect to meet Jean and other sponsors in person. Since we started Linkurious in 2013, we have worked with dozens of Neo4j users around world to help… Read more →
Explore: anti-money laundering • audit trail • Data Visualization • Graph Data • graph visualization • graphconnect • impact analysis • knowledge management • Linkurious • Neo4j for the Enterprise