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Capgemini launches perpetual KYC sandbox to transform compliance practices

Capgemini has launched a first-of-its-kind pKYC sandbox, aimed at helping financial institutions adopt a real-time, continuous compliance framework. The new solution addresses the challenges associated...

From spreadsheets to smart compliance: The RegTech revolution in AML risk...

As regulatory demands intensify and financial crimes grow more complex, financial institutions and regulated businesses are under mounting pressure to modernise their risk assessment...

Verified identity platform Persona secures $200m to tackle AI fraud and...

Persona, a San Francisco-based verified identity platform, has raised $200m in a Series D funding round, valuing the company at $2bn.

Tax compliance in FinTech: Balancing user experience and regulatory requirements

Collecting accurate tax documentation—especially taxpayer identification numbers (TINs) via Forms W-8 or W-9—is one of the biggest compliance challenges financial institutions and digital platforms...

Feedzai acquires DemystData to unify AI-driven fraud prevention and data orchestration

Feedzai, a fraud and financial crime prevention company specialising in AI-powered solutions for financial institutions, has acquired DemystData, a provider of data integration and orchestration technology known for its Zonic platform.

Why AI and ML are transforming KYC compliance in financial services

Traditional KYC processes are increasingly struggling to keep pace with the demands of modern financial services. However, the rise of AI and ML is reshaping how compliance teams operate, delivering faster, more accurate, and more scalable solutions.

How the 3 stages of money laundering work and how to...

When criminal organisations generate illegal profits, they must clean or ‘launder’ the money before it can be safely used in the legitimate economy. This is typically done through a carefully structured three-stage process. Understanding these stages is vital for businesses implementing anti-money laundering (AML) strategies, as it can help identify potential criminal activity.

Why automated AML verification is essential for modern financial crime prevention

Money laundering remains a significant threat to financial systems worldwide, not only as a crime in itself but also as a key enabler of serious criminal activities such as drug trafficking, human smuggling, and terrorism. Consequently, it is critical for all businesses handling substantial sums of money to implement robust AML procedures.

The crucial role of KYC in unmasking money laundering techniques

Money laundering is a serious global issue that enables grave crimes such as drug trafficking, human smuggling, and terrorism. For businesses handling significant financial transactions, it is crucial to establish robust anti-money laundering (AML) measures. These include detailed Know Your Customer (KYC) and Know Your Business (KYB) processes that involve rigorous identification, verification, screening, and monitoring of both individual and corporate clients.

How AI is streamlining customer lifecycle management in finance

Let’s acknowledge a crucial aspect from the outset – managing the Customer Lifecycle Management (CLM) journey has become an increasingly complex, costly, and challenging endeavor. This is a shared challenge across the financial sector, exacerbated by an era marked by continuous change.
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