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Enterprise Layer Intelligence
Categories/Cybersecurity/Ripjar
Ripjar

Ripjar

Founded 2013

Screen individuals and organizations against global sanctions, watchlists, and adverse media to prevent crime

Pricing model

Demo

You can use Ripjar to monitor and screen customers against global sanctions lists, politically exposed persons databases, watchlists, and adverse news media. It connects multiple risk data sources into unified entity profiles, helping compliance teams detect money laundering and financial crime risks. The system resolves name variants across multiple languages and scripts, while automated triage flags real threats and closes low-risk alerts. You can also conduct deep threat investigations across structured and unstructured data to protect your business from reputational and regulatory harm.

What Ripjar does

Screen customer records against OFAC and global sanctions listsDetect politically exposed persons within customer databasesInvestigate suspicious entities across unstructured data sourcesReview and triage flagged AML screening alertsSearch historical and real-time news for adverse media risksAudit compliance decisions and historical risk screening notesResolve entity duplicates and lookalike names in alert queuesDynamic entity-based risk profiling across sanctions, PEPs, and adverse mediaMultilingual name matching across 400+ languages and 20+ scriptsAutomated alert triage that auto-closes low-risk false positivesContinuous adverse media monitoring searching billions of news articlesEntity resolution to distinguish between similar and duplicate namesThreat investigation across structured and unstructured data

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Dow Jones Risk & Compliance, LexisNexis Bridger Insight, LSEG (Refinitiv) World-Check, Kharon, REST API for internal datasets

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Ripjar, financial crime, AML compliance, sanctions screening, PEP screening, adverse media, watchlist screening, transaction monitoring, entity resolution, risk intelligence, compliance, fraud detection, customer due diligence, false positive reduction, KYC