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.

In this final article, we share our last set of best practices for Adverse Media Screening, a tool increasingly important for individuals and companies in monitoring online news and media.

We are honoured to announce we have won the award for Best ESG KYC surveillance provider at the ESG Insight Awards 2022!

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.

We are pleased to announce the launch of our smartLISTS module. smartLISTS are a better way for financial crime teams to manage and screen against their internal watchlist data.

Historically, and still in many instances, Enhanced Due Diligence was exclusively a manual process using human intelligence, but with the advent of real world uses of artificial intelligence and other innovative technologies, more and more firms are using tools to automate their EDD processes as much as possible.

smartKYC’s contribution to the due diligence industry results in awards across several disciplines, including technology, AI and ESG.

What is entity resolution and why is it important?

When carrying out Know Your Customer (KYC) screening, a challenge many organisations face is determining whether data refers to the same entity or multiple, different entities. Entity Resolution (ER) is a technique that allows you to know if real-world entities are linked—or not. Once the entities have been determined as equivalent, a common identifier is added, linking the different records. This enables you to create unique customer profiles and avoid duplication.

We are honoured to be finalists in the Computing AI & Machine Learning Awards again this year in the categories of ‘The Most Innovative Use of AI’ and ‘Explainable AI Award.’ These prestigious awards ‘recognise the best companies, individuals and projects in the AI space today.’