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Enrich existing Match scoring with locally deployed small language models that resolve semantic organization name equivalences, starting with Chinese-English pairs.
Babel Street identity record resolution helps organizations create a cleaner, more trusted identity foundation by identifying likely duplicate identities and supporting the resolution of confirmed duplicates.
Improve precision and reduce unnecessary review across multilingual screening and identity risk workflows.
Configure how names, identifiers, addresses, and other identity data affect match scores — reducing false positives and aligning decisions with operational risk priorities.
A deep dive into how risk increasingly emerges in digital spaces before becoming a real-world threat.
Turn overwhelming data into actionable intelligence. Learn how organizations can filter noise, identify critical signals, and make timely, informed decisions.
How Babel Street Insights Investigator uses AI-powered investigation workflows to help teams uncover risks faster and produce mission-ready intelligence in seconds.
How analysts can uncover adversary activity earlier, enrich investigations with open-source intelligence, and accelerate threat detection through actionable insights from global data sources.
How organizations can transform data streams into actionable intelligence — enabling faster threat detection, improved risk mitigation, and better-informed decisions in an increasingly complex global environment.
One law. Many places. One responsibility.
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