Monitor Every Transaction Across Every Source.

Monitor your customers’ full transaction footprint with multi-source data aggregation, entity resolution, and a no-code rules engine built for testing before deployment.

Skylight seamlessly incorporates multiple products, providers, systems, and sources into your AML transaction monitoring activity, at the pace your business moves.

  • Monitor across your complete offering of services and products
  • Ingest and aggregate transactions across multiple sources simultaneously
  • Manage multiple transaction types within a single platform

Aggregate multiple disparate data points from external and internal sources and resolve them into one distinct, unique entity. Configure entity resolution logic to match your unique business needs.

  • Gain holistic insights across your entire customer and counterparty network
  • Configurable entity resolution logic aligned to your business requirements
  • Cross-product visibility across your full offering of services

Skylight’s no-code rules engine eliminates the need to wait on IT for rule creation, tuning, or deployment. Build compliance rules your way, and test them before they go live.

Use Skylight’s extensive template library or define custom rules. No coding or IT dependency required.

Supports standard deviations, calculation-based, list-based, and two-step rules with extensive lookback capabilities and rule cloning.

Test new rules against production data without impacting your current alert queue. Analyze tuning results in a segregated trial alerts queue before deployment.

Create broad rules for network-wide behavior patterns or specific rules for high-risk locations, people, products, transaction types, or events.

Skylight applies embedded intelligence in two specific areas within AML Transaction Monitoring, without replacing analyst judgment.

Alert prioritization and triage

Ranks alerts by risk and likelihood of escalation so teams address the most significant issues first, consistently, every time.

Rule-informed learning

Combines rule outcomes with model insights to support ongoing tuning and reduce false positives over time.

Book a demo and see how Skylight monitors your full transaction footprint with the rules engine built for testing before deployment.