LSEG Launched AI Data Engine to Reduce Screening Alerts
The new Active Intelligence engine aims to reduce financial screening workloads by automating false-positive filtering.
Updated on Sept. 29, 2026 in Artificial Intelligence
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LSEG Risk Intelligence has officially launched Active Intelligence, an AI data engine integrated into its World-Check platform. The company also released its first commercial application of the technology, World-Check Resolve, to help financial institutions manage risk assessment matches.
Why it matters
By automating the triage of customer risk screenings, the system aims to help financial institutions significantly reduce their manual workload. It addresses the growing operational challenge of filtering high volumes of compliance alerts in global financial markets.
World-Check Resolve demonstrated a 74% average reduction in false-positive screening alerts during testing conducted across 650,000 unique cases. The engine operates within the existing World-Check One user interface and API architecture.
The players
LSEG Risk Intelligence
A division of the London Stock Exchange Group providing compliance, identity, and risk management software for financial institutions.
Amazon Web Services
A global provider of cloud infrastructure and the underlying foundation for the Amazon Bedrock generative AI development platform.
The details
Active Intelligence is built on Amazon Bedrock using Amazon Web Services infrastructure to process risk data. The engine applies advanced matching algorithms—automated rules designed to compare identity data—to distinguish between genuine high-risk entities and irrelevant screening noise. LSEG specialist teams continue to manage the curation and quality assurance processes for the underlying data sets that inform these automated decisions.
Timeline
September 29, 2026: LSEG Risk Intelligence announced the launch of the Active Intelligence engine.
The Tech Race
This development represents a shift toward AI-automated risk filtering within the competitive landscape of institutional compliance platforms. It follows a industry trend of adopting enterprise-grade AI to modernize regulatory workflows previously reliant on manual review.
Financial compliance teams can now access World-Check Resolve through the existing World-Check One interface. The tool is designed to automate the prioritization of risk matches, directly altering the daily workflow for analysts tasked with clearing screening alerts.
The takeaway
Financial institutions looking to optimize compliance operations should monitor whether the 74% reduction in false positives persists as the engine processes more diverse, real-world data volumes. Benchmarking these results against existing legacy screening tools will be the next major milestone.
Further reading
For broader trends in compliance automation, explore the Artificial Intelligence section.
Source note: This article includes information reported by FX News Group.
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