Procurement integrity
Inquiry names a supplier in a procurement review
Regulatory notice · 12 Aug 2026“…the review includes transactions involving Marin Orlov and two related entities…”Open original source
Products / Adverse Media
Adverse Media Screening Software for AML and KYC
Detect negative news, regulatory signals, and reputational risk earlier with source-backed adverse media screening for onboarding, customer risk assessment, ongoing monitoring, cases, and audit evidence.
Allegation and response
Company responds to allegations in published report
Business press · 14 Aug 2026“…a representative for Marin Orlov disputed the report and provided a written response…”Open original source
200K+Trusted news and official sources
Risk categoriesFraud, corruption, money laundering and more
GlobalCoverage across markets and jurisdictions
EvidenceSource, date, relevance and review context
Source-backed adverse media review, not generic news search
Adverse media screening is useful only when findings are relevant, credible, and specific enough to review. Checklynx combines trusted source coverage, configurable risk categories, structured article context, and smarter matching so analysts can separate customer-risk signals from irrelevant negative-news noise.
Global and local media coverage
Search across more than 200,000 trusted news and official sources for current and historical risk signals across global and local markets.
Configurable risk categories
Classify findings by themes such as fraud, corruption, sanctions evasion, money laundering, terrorism financing, regulatory enforcement, litigation, and reputational harm.
Reduce irrelevant negative-news matches
Use matching context, source details, entity data, keywords, and resolved decisions to reduce false positives while keeping analysts in control.
Turn adverse media hits into review-ready evidence
A media match should show more than a headline. Checklynx keeps article details, source labels, risk themes, matching context, analyst decisions, and case evidence together so compliance teams can decide whether a finding is relevant.
Trusted source coverage
Screen across trusted global, local, and official sources so analysts can see current risk signals.
Risk-theme tagging
Group articles by fraud, corruption, money laundering, sanctions evasion, terrorism financing, enforcement, litigation, and reputational risk.
Reviewer context
Keep source title, date, publisher, entity context, keywords, and category labels attached to each potential media match.
Monitoring and evidence
Route relevant findings into customer review, ongoing monitoring, case management, and audit evidence.
Decide whether a media finding changes customer risk
Compare the matched person or company with the publication, risk theme and original reporting. Record relevance and rationale so the outcome remains available for later customer reviews.
Explore case managementReturn new relevant reporting for review
Monitor approved customers and related parties for new public-risk signals. Relevant reporting returns to the workflow with previous findings, decisions and source context attached.
Explore ongoing monitoringWhat adverse media screening checks
Checklynx screens trusted media and official sources, then organizes findings into reviewable risk themes so teams can decide whether negative news affects customer risk, EDD, monitoring, or case escalation.
Financial crime
Articles connected to fraud, money laundering, corruption, sanctions evasion, terrorism financing, and related misconduct.
Regulatory enforcement
Coverage of investigations, fines, enforcement actions, licensing issues, and other regulator-led concerns.
Customer risk assessment
Signals that may affect customer, counterparty, or business risk, including serious allegations, litigation, and public controversy.
Source Context
Publisher, date, article title, category, and matching context stay visible so analysts can validate relevance quickly.
Run adverse-media screening through the portal, API, CSV and cases
Use the access method that fits onboarding, periodic review or an investigation while keeping source context and outcomes connected.
01Portal investigations
Search public reporting and review potential customer-risk signals without an integration.
Explore 02Real-time API checksAdd adverse-media checks to onboarding and other customer-risk events.
Explore 03CSV population screeningReview customer or counterparty populations against current media sources.
Explore 04Cases, webhooks and auditRoute relevant findings into review and retain the source and decision trail.
ExploreSee where adverse-media screening fits in the wider Checklynx platform
01Customer and UBO context
Connect the people and entities whose public-risk signals need review.
02Adverse-media screening
03Customer risk assessmentFind potentially relevant reporting with publication and risk context attached.
Assess whether a finding changes the customer-risk decision or requires EDD.
04Monitoring and casesReturn new relevant reporting for review and preserve earlier outcomes.
Trusted by teams at
What is adverse media screening software?
Adverse media screening software checks trusted news, official sources, regulatory notices, court records, and other public information for negative risk signals linked to customers, companies, counterparties, beneficial owners, or related parties.
What risk categories can adverse media screening cover?
Common categories include fraud, corruption, money laundering, terrorism financing, sanctions evasion, regulatory enforcement, litigation, organized crime, and other serious reputational or financial-crime risk signals.
How does Checklynx reduce irrelevant negative-news matches?
Checklynx keeps source details, matching context, entity information, risk categories, keywords, and resolved decisions attached to each result. This helps analysts separate relevant adverse media from unrelated articles or repeated false positives.
Can adverse media be used for ongoing monitoring?
Yes. Adverse media risk can change after onboarding. Checklynx supports monitoring so approved customers, counterparties, and related parties can be reviewed when new source context or risk signals appear.
Does adverse media automatically mean a customer should be rejected?
No. Adverse media is a risk signal for review, not an automatic rejection rule. Teams should assess relevance, source quality, seriousness, recency, relationship to the customer, and their own AML policy before deciding.