How can automation help to reduce money laundering fraud? Larry Gordon and Kathleen Gowin of the consultancy Endurance Advisory Partners describe how predictive KYC can help mitigate risks.
The combination of governmental financial support driven by “high unemployment, business insolvency, and disruptions in global
trade patterns” + increased online and remote banking has led to a spike in
financial fraud.
Heightened risks made it harder to comply with requirements to combat financing terrorism...
AML fines are rising each year as financial institutions continue to make the same compliance mistakes. Often, organizations must cobble together multiple point solutions, leaving unseen gaps in their compliance process.
In this e-book, you'll learn how end-to-end AML compliance solutions are changing this reality...
In today’s digital-first world, businesses subject to KYC requirements must find a way to create onboarding and authentication processes that achieve compliance and inhibit fraud, without alienating good customers. Time and again, research shows that overly cumbersome and time consuming processes turn good customers...
Alexander Vinnik, a Russian national who founded the now-defunct BTC-e cryptocurrency exchange, has been found guilty of money laundering in France and has been sentenced to five years in prison, according to media reports. He faces additional charges in the U.S. and Russia.
There's a lot of talk about advancing the anti-money laundering arsenal to the next level, sometimes referred to as next-generation AML, AML 2.0 or AML 3.0. Whatever you call the next wave of AML technology, it's about solutions that draw on such advances as robotics, semantic analysis and artificial intelligence...
The Treasury Department has fined the owner of two bitcoin "mixing" sites $60 million for violating anti-money laundering laws. It's the first time the department's Financial Crimes Enforcement Network has issued a civil monetary penalty against the operator of a cryptocurrency site.
A international law enforcement operation involving 16 countries has resulted in the arrest of 20 individuals suspected of belonging to the QQAAZZ criminal network, which helped launder cash and cryptocurrency for other cybercriminals.
What will be the impact of the leak of investigatory documents from FinCEN - the U.S. Treasury Department's Financial Crimes Enforcement Network? For starters, experts warn that FinCEN reports may reveal sensitive information tied to banks and law enforcement agencies' investigatory tools and tactics.
Cybercriminals still prefer to use "money mules" and drug trafficking to launder money tied to their bank hacking activities rather than cryptocurrency transactions, according to a report from SWIFT, which handles intra-bank financial transactions.
The U.S. Justice Department has filed a civil forfeiture complaint in an effort to recover millions in cryptocurrency from 280 accounts that allegedly was stolen by North Korean hackers. Prosecutors believe much of the money was laundered through Chinese exchanges.
The U.S. Justice Department has seized more than $2 million worth of cryptocurrency from terrorist groups who solicited donations via social media and waged fraud campaigns.
Machine learning can play a significant role in mitigating money laundering risks, says Andy Gandhi, managing director, data risk and compliance at the consultancy Alvarez and Marsal.
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