We’re reinventing AML
Meet the combination of next-generation technology and best-in-class anti money laundering and countering the financing of terrorism (AML/CFT) expertise for a secure, dynamic and effective solution for financial institutions
See how it works
Financial crime is everywhere.
Financial institutions have the responsibility to fight growing financial crimes like fraud, money laundering and the financing of terrorism. Between $800 billion and $2 trillion in illicit transactions move through the global financial system every year, but authorities intercept less than 1% of those amounts.
Limits to data sharing make it hard to fight.
Burdened by the limits below, financial institutions are unable to share risks and insights in real time. As a result, sophisticated actors abuse this system, leaping from institution to institution and hiding their tracks.
- Prohibitive Costs
- Data replication infrastructure is scarce
- Data transfer is expensive
A more efficient, more effective way.
Consilient reinvents AML/CFT through a behavioral-based, machine learning-driven utility and governance model that enables financial institutions to more effectively share information about risks and illicit actors in real-time, while adhering to privacy protections and data localization restrictions.
Consilient uses federated learning, which allows financial institutions to access and interrogate data sets in different institutions, databases, and even jurisdictions, all without ever moving the data.
Founded in 2020 through a partnership between K2 Integrity and Giant Oak, Consilient brings together next-generation technology and best-in-class anti-money laundering and countering the financing of terrorism (AML/CFT) knowledge to power a more secure, dynamic and effective solution for financial institutions. Consilient’s behavioral-based machine learning-driven utility – the DOZER algorithm – and governance model equips financial institutions to securely share risks and insights in real time.
Gary M. Shiffman
Co-Founder & CEO
Gary M. Shiffman applies economic science to combating illicit violence and coercion. He served in the Gulf War, has served as a National Security professional in the U.S. Senate and at the U.S. Department of Homeland Security, and has led on several DARPA-funded research programs. He is founder and CEO of Giant Oak, and the inventor of GOST, a machine learning-based screening platform. He teaches at Georgetown University and is the author of The Economics of Violence (Cambridge University Press, 2020).
Co-Founder & Chairman of the Board
The Honorable Juan Zarate is global co-managing partner and chief strategy officer at K2 Integrity. He was the first-ever Assistant Secretary of the Treasury for terrorist financing and financial crimes, where he led the post-9/11 anti-money laundering and sanctions regime expansion in the United States.
Irregular Warfare Podcast hosts Kyle Atwell and Shawna Sinnott interview co-founders Gary Shiffman and Juan Zarate about the economic drivers of illicit violence. Together, Shiffman and Zarate believe that social science can help us understand why terrorists,...
by Gary M. Shiffman, PhD. This article was originally published in The Hill. Click here for the full article. “America is back” means that President Biden faces a slew of foreign policy challenges as he modifies the course of U.S. national security. From...
Consilient Bank Trials Demonstrate Federated Machine Learning Improves Effectiveness and Efficiency for Financial Crime Detection
Consilient applies its federated learning model and machine-learning technology for anti-money laundering and countering the financing of terrorism efforts for financial institutions ARLINGTON, Va. – In recent bank trials, fintech innovator Consilient demonstrated...
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