
Why global risk teams need more than basic screening
Risk doesn't only appear in headlines
Relevant signals often surface first in regional outlets, industry publications or local-language sources. This can happen long before they reach major international coverage.
It isn't built around your risk appetite
Fixed criteria don't reflect your organisation's jurisdictions, priorities or risk tolerance. Screening that can't adapt to how you actually assess risk isn't fully useful.
Effective adverse media monitoring requires more than access to major international publications. Risk signals often appear first in smaller regional outlets, industry publications or government reports long before they reach global headlines. Business Radar monitors a broad range of global and local sources to ensure that relevant developments linked to companies are detected as early as possible.
Global signals in one solution
Signal detection
Business Radar analyses thousands of global media sources and identifies company mentions across multiple languages. Entity profiles are expanded using corporate identifiers and trade names retrieved from corporate records, company websites and LinkedIn profiles.
Signal validation
Detected signals are validated through curated source selection, contextual analysis and AI-assisted verification layers. This helps reduce false positives and ensures that signals are linked to the correct companies.
Signal structuring
Relevant developments are categorised across more than 200 ESG and risk themes. Articles covering the same development can be clustered into events, helping analysts understand developments without reviewing duplicate reporting. A materiality filter highlights events that could significantly affect a company's risk profile.
Signature capabilities
Materiality-based risk prioritisation
Not every news article represents a meaningful risk signal. Business Radar categorises developments across more than 200 ESG and risk themes and applies a materiality filter to highlight events that could significantly affect a company's financial position, operations or risk profile.
Curated global and local media coverage
Business Radar monitors thousands of international and regional media sources across multiple languages. The source base combines major global publications with smaller regional outlets, industry publications and government reports where risk signals often appear first.
Entity-based screening across corporate structures
Business Radar identifies risk signals linked not only to individual companies but also to their broader corporate networks. By combining corporate identifiers, trade names and company relationships, signals can be linked to subsidiaries, parent companies and global ultimate entities.
Signal verification and false-positive reduction
Adverse media monitoring often produces large volumes of irrelevant results. Business Radar applies contextual analysis and AI-assisted verification layers to confirm that articles genuinely refer to the relevant company.
Access Business Radar through platform or API
Business Radar intelligence can be accessed through the Business Radar platform or integrated directly into internal systems via the Business Radar API. Use the platform to screen companies and investigate developments, or connect the API to deliver verified risk signals directly into your workflows.
Get in touch with us to see how our adverse media solution fits into your risk strategy
Facts
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90%
Over 90 percent of our users with continuous monitoring enabled have reported that Business Radar identified high-risk signals in the past 12 months, which would have otherwise gone unnoticed.
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32%
Auditors using Business Radar have reported a 32 percent average increase in efficiency during periodic reviews and screenings, compared to traditional software.
Case studies
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Atradius
From manual searches to real-time intelligence: How Atradius keeps its entire portfolio in view
Built for organisations like yours
Risk Categories
Reduction False Positives
Global Company Records
Translated Languages
Global Sources
