Adverse media data

Adverse media data identifies negative news about companies and people, such as fraud, corruption, money laundering, sanctions evasion, environmental harm or labor abuses. Compliance teams use it for enhanced due diligence, procurement teams for third-party risk reviews, and investors for reputational screening.

Typical fields

• Entity name and resolved entity identifier
• Risk category and sub-category
• Article headline, source, language and publication date
• Snippet or summary and URL
• Relevance and confidence scores
• Country and event date

Sources and collection

Providers crawl or license news sites, regulatory announcements, enforcement releases and other public sources in many languages. Natural language processing identifies entities and classifies risk types, and stronger providers add human review for high-risk categories. Licensing matters: full article text is often restricted, so many products deliver metadata, snippets and links instead.

Delivery and pricing

Delivered through screening APIs, batch screening or continuous monitoring feeds. Pricing is usually per screened entity, per API call or an annual licence based on the size of the monitored portfolio and the languages covered.

Before you buy

• Ask which languages and countries are covered and how sources are selected.
• Check how entity resolution avoids attaching stories to a different person or company with the same name.
• Review the risk taxonomy and whether it maps to your policy categories.
• Confirm how corrections, acquittals and outdated stories are handled.
• Check your rights to store article text, as opposed to links and metadata.