From manually reviewing news articles to using natural language processing (NLP) to analyse open source data online, adverse media screening processes have changed substantially in recent years. But the goal remains the same: to protect your institution and your customers from potential risk and improve KYC processes. With AI solutions, that goal is now significantly more attainable.

The current role of KYC screening in PBWM KYC screening plays a crucial role in PBWM industry, ensuring compliance with regulations, mitigating financial risks, and maintaining the integrity of the financial system. As the industry evolves, the adoption of digital KYC screening processes becomes increasingly important to streamline operations. However, this sector faces unique challenges

Adverse media screening dates back several decades and has evolved alongside the changing media landscape.

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KYC (Know Your Customer) screening is an essential process for businesses to identify and verify their clients’ identities as well as surfacing any potential risks associated with them. This process helps mitigate the risk of financial fraud, money laundering and other illegal activities by following KYC regulations. The information gathered during KYC screening can come from various sources, including both structured and unstructured data sets; processing these data sets presents several difficulties that businesses must overcome.

As we addressed in our latest adverse media post, there is an array of categories—and subcategories— of negative news screening that need to be properly screened for accurate and relevant results. But how do people look for and analyse adverse media in foreign languages? And why is this still so difficult?

On 1st December 2022, the Wolfsberg Group published its Principles for Using Artificial Intelligence and Machine Learning in Financial Crime Compliance. It is a welcome piece of commentary and advice and is inline with our thinking at smartKYC.

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This article continues with tips 4-6 for better implementing a continuous or high-frequency negative news screening programme.

Adverse media screening, sometimes referred to as negative news screening, is essentially the process of searching an individual or company for adverse news or media relating to them, which can be found in open source intelligence online.