RUMI — AI-Driven Adverse-Media Screening

 Adverse media (negative news) screening surfaces public-domain stories that signal financial-crime, sanctions, fraud, and integrity risks. Regulators expect firms to use it to complement KYC, sanctions, and transaction monitoring. Done well, it reduces surprise events (e.g., a client’s sudden indictment) and supports risk-based reviews, EDD decisions, and exit considerations with documented, publicly verifiable evidence.

 Coverage spans online news sites, reputable blogs, enforcement press releases, court pages, and corporate notices, in multiple languages. Feeds are refreshed daily (or faster); historic archives are searchable for context. You can restrict to approved domains, prioritize geographies, and automatically translate snippets for analyst review while keeping the original-language article for evidence.

RUMI applies entity resolution (person/company disambiguation, aliases, transliterations) plus event clustering and near-duplicate detection to collapse repeats. A relevance model scores each hit using context (role, locations, dates, co-mentions) and risk taxonomies. The result is a concise, deduped queue that highlights material, recent events and suppresses generic name collisions.

Yes. High-confidence hits can adjust KYC risk scores, trigger EDD, and open cases with attached articles, timestamps, and reason codes. Investigators see the customer’s timeline alongside sanctions and transaction alerts, then disposition items with audit trails. You can also schedule continuous monitoring for high-risk segments and periodic scans for everyone else.

 The engine supports fuzzy matching, language-aware tokenization, nicknames/AKAs, and script variations (e.g., Latin/Cyrillic/Arabic), then resolves candidates using corroborating attributes (DOB, locations, affiliations). This multilingual matching improves recall on true risks while suppressing unrelated names that merely look similar in search.

 You can get a feel for list/search workflows via the free sanctions search on our site, then book a short demo to see RUMI’s adverse-media experience—entity resolution, relevance scoring, clustering, and case push. We’ll walk through typical policies (monitoring frequency, escalation thresholds) and show how results flow into KYC and case management.