Risk screening

Adverse Media Screening

Screen customers and entities against negative news and adverse media from thousands of sources, with risk-categorised results, reduced noise, and ongoing monitoring.

Last updated

What this covers

  • Global news and media sources
  • Financial crime and fraud reporting
  • Corruption and bribery coverage
  • Risk-categorised results
  • Ongoing monitoring
Evening sunlight reflecting off city skyscrapers

Screening in production for

  • BTC
  • CMC Markets
  • Coop
  • CSC
  • EFICA
  • EML
  • Groupama
  • MEO
  • Riskified
  • Securiport
  • Tanzania Commercial Bank
  • Tradeview Markets
  • Zappit
  • AMP
  • BancABC
  • BMG
How it works

Adverse Media Screening, end to end.

Search

Screen a name against thousands of global news and media sources in seconds.

Categorise

Results are relevance-scored and grouped by risk theme such as fraud, corruption, and organised crime.

Monitor

Ongoing re-screening flags new coverage as it appears, with sources and decisions captured for audit.

The real problem

Most negative news is about somebody else.

Searching a customer's name against the world's media returns a great deal of material, and most of it belongs to a different person with the same name, or describes something that is not a financial crime risk at all. Volume is not coverage. The work is separating the article that changes a risk rating from the thousand that do not, and doing it the same way every time.

Sanctions screening best practice, and what firms get wrong
  • Results are risk-categorised, so a fraud allegation is not filed beside an unrelated mention
  • Secondary identifiers narrow a name-only match before it reaches a reviewer
  • Ongoing monitoring catches coverage published after onboarding, not just on day one
  • Every article considered is captured with the decision, so a dismissal is defensible later
Capabilities

What you get.

Risk-categorised results

Matches are grouped by risk theme such as fraud, money laundering, corruption, and organised crime, so analysts see why a name surfaced instead of an undifferentiated list of articles.

Noise reduction

Relevance scoring, entity resolution, and date filtering cut coincidental name matches and stale coverage, so review time is spent on articles that actually describe your customer.

Ongoing monitoring

Customers are re-screened as new coverage appears, so adverse media that emerges after onboarding is flagged for review rather than missed.

Evidence capture

Source articles, links, dates, and analyst decisions are stored against each customer, giving you a defensible record of what was found and how it was assessed.

API integration

Run adverse media checks inside onboarding and periodic review through the MemberCheck API, alongside sanctions and PEP screening on the same customer record.

Scope

What you can screen.

  • Individuals and sole traders
  • Entities and organisations
  • Beneficial owners and directors
  • Financial crime and fraud exposure
  • Ongoing media coverage after onboarding
1,000+
Global watchlists screened
<1s
Average screening response
24h
Watchlist refresh cycle
195
Countries covered
Assurance

What your security review will ask for.

99.98%
System uptime
<24h
Average integration time
24–48h
Signed to production account
<1s
Average screening response
  • ISO/IEC 27001:2022 certifiedISO/IEC 27001:2022Information security management, independently audited.
  • ISO/IEC 27701:2019 certifiedISO/IEC 27701:2019Privacy information management, extending ISO 27001.
  • GDPR — EU General Data Protection RegulationGDPRPersonal data handled to EU standards, wherever you operate.
  • DORA — EU Digital Operational Resilience ActDORAOperational resilience for EU financial entities and their vendors.
Questions

Common questions.

How is this different from sanctions and PEP screening?

Sanctions and PEP screening checks structured lists of designated persons. Adverse media screening searches news and media for negative coverage such as fraud, corruption, or investigations that may never reach an official list, so it surfaces reputational risk the lists miss.

How do you reduce noise and false positives?

Results are relevance-scored, resolved to the correct entity, and filtered by date and risk theme, so coincidental name matches and years-old articles about someone else are pushed down while coverage that describes your customer is surfaced.

Is coverage monitored after onboarding?

Yes. Customers are re-screened as new coverage is published, so negative news that emerges during the relationship is flagged for review rather than only checked once at onboarding.

Is the evidence retained for audit?

Yes. The source article, link, publication date, and the analyst's decision are recorded against the customer, giving you a defensible trail of what was found and how it was assessed.

See MemberCheck in action.

A short walkthrough of screening, verification and ongoing monitoring in one platform, set to the thresholds and jurisdictions your programme actually uses.