Proactive Risk Detection Through Real-Time Media Intelligence
Starcave Technology’s Adverse-Media & Negative-News Monitoring solution empowers organizations to detect reputational and regulatory risk early by automatically scanning global media sources for negative mentions related to individuals and entities of interest.
Leveraging trusted data feeds such as TESS and Dow Jones, combined with proprietary natural language processing (NLP), we classify and surface high-risk events—including allegations of fraud, corruption, criminal activity, and litigation—before they become regulatory or reputational liabilities.
Key Features
Global Media Surveillance: Continuously monitor international news outlets, blogs, legal records, and social platforms for emerging risk events tied to your subjects of interest.
Advanced NLP Classification: Use AI to categorize adverse mentions by topic (e.g., fraud, money laundering, regulatory action) and extract sentiment, severity, and relevance.
Real-Time Alerts: Receive instant notifications when high-risk matches are detected, with detailed context and links to source material.
Searchable Media Archives: Maintain indexed, historical archives of negative media events, fully linked to profiles for future audits or investigations.
Configurable Risk Filters: Tailor alert settings by jurisdiction, severity level, entity type, and industry for more relevant monitoring results.
Seamless Integration: Feed alerts into your existing compliance systems or workflows via secure APIs and webhooks.
Why Choose Starcave?
Detect reputational and compliance risks early—before formal sanctions or actions occur
Reduce manual research through automated daily sweeps and intelligent filtering
Enhance your due diligence with context-rich media profiles
Ensure long-term compliance with traceable, archived news intelligence
Integrate effortlessly into your existing review and risk management processes
With Starcave’s Adverse-Media Monitoring solution, your organization stays one step ahead—identifying early warning signals and managing exposure to public and regulatory scrutiny with precision.
