Find the risk that matters. Ignore the noise that doesn't.

Adverse media screening checks customers, counterparties and other entities against global and regional news and media to surface allegations of financial crime, fraud, corruption and other risk. It is a core part of AML customer due diligence and ongoing monitoring under applicable compliance regulations.

You've always faced a trade-off with adverse media screening. Human-curated data is entity-centric but narrow in coverage. Machine-curated articles cast a wider net but flood analyst queues with irrelevant matches.

Clear Data removes the trade-off. Entity resolution and tunable matching turn global and regional media into customer-specific dynamic risk profiles, matched to your customers and refreshed daily across 500+ data sources. The result: broad coverage, concentrated risk and dramatically fewer false positives.

Data sources unified

Adverse media refresh

EU markets covered

Fewer false positives

Less manual review

The Challenge

Why adverse media screening is so expensive.

Regulators increasingly expect you to screen against adverse media to identify money laundering, terrorist financing and other risks early. Under the EU AML framework and the new AMLA, expectations keep rising. The problem is execution.

Take a broad view with manual searches and you drown in low-quality matches. Narrow the scope and you miss genuine risk. Screen a common or regional name and the signal disappears beneath irrelevant results. As supervisors raise expectations, institutions are asked to screen more of their book, or their entire book, against media. The economics of traditional approaches simply do not hold.

“The economics of traditional adverse media screening break down at enterprise scale.”

How Clear Data Solves It

Entity-centric adverse media at scale.

Risk classification and entity extraction

AI determines the risk-relevant person or organisation within each article, so analysts review genuine risk subjects, not irrelevant mentions.

Dynamic Risk Profiles

All media for a single entity is grouped into one profile alongside sanctions, PEP and company data. A holistic, concentrated view of risk rather than a stream of disconnected articles.

Screening at scale

Clear Data distils global and regional media into entity profiles and matches them against your customer base, resolving identity and risk at enterprise scale across 500+ data sources.

AI entity-centric summaries

A risk summary of all adverse media exposure for a profile, not just a single article, with clickable references for every assertion. A chronological account of an entity’s links to risk, readable in seconds.

Daily updates

Adverse media is often the earliest warning signal for emerging risk. Clear Data refreshes its data within 24 hours so screening keeps pace with new allegations.

Multilingual and regional coverage

Natural language processing across major languages, tuned for Romanian and Central and Eastern European media that global vendors often miss. Risk is global and interconnected, and so is Clear Data’s data.

Proof

Deployed where it matters

Built for regional compliance, proven with leading institutions across Central and Eastern Europe.

BRD

78%

fewer false positives

Faster, audit-ready adverse media decisions.

KRUK

47%

faster time to decision

One unified view of media risk across sanctions, PEPs and adverse media.

Mokka

90%

less manual review

Entire customer book screened without new headcount.

FAQ

Common questions about adverse media screening.

What data sources does Clear Data integrate with?

What is Adverse Media Screening?

What is the difference between keyword-based and entity-based adverse media screening?

How many languages does Clear Data cover for adverse media?

How often is Clear Data’s adverse media data updated?