Adverse media or negative news is defined as any kind of unfavorable information about a specific organisation or individual, that would signal potential negative regulatory, financial, or reputational consequences to companies doing business with them.
This information can be found across a wide variety of media sources – both ‘traditional’ news outlets, niche media organizations, government and regulatory press releases, and reliable blogs.
The volume, velocity, and dynamic nature of Adverse Media makes it impossible for analysts alone to process and structure all risk-relevant data that is generated online each day.
By harnessing state-of-the-art machine learning technology, guided and quality assured by subject matter experts, you are able to reliably identify relevant risks more efficiently and cost-effectively.
Why our Adverse Media
coverage is better
All known relevant risk data on an entity is compiled into one comprehensive profile, enhanced with rich, contextual information – such as pictures, date of birth, location, and media articles with easy to read snippets.
We use machine learning algorithms actively developed by world-leading engineering teams, and curated by teams of subject matter experts, to monitor tens of thousands of risk events from several million media articles, each day.
All the profiles in our data have been accurately labeled with easy-to-justify categories to enhance your understanding. False positives are then significantly decreased by allowing screening against only the categories relevant to your business.
”The inclusion of pictures and relevant media articles covering up-to-date negative news on the ComplyAdvantage platform makes it much easier to evaluate AML risk exposure.