AML Transaction Monitoring
by Unit21 · Financial crime and fraud · San Francisco, United States
AI-powered transaction monitoring that unifies behavioral signals, transaction data, and network intelligence with configurable rules and continuous optimization.
What AML Transaction Monitoring does
- Multi-data ingestion (transactions, behaviors, devices, customer attributes)
- AI-powered risk scoring and detection models
- Configurable rule creation and deployment
- AI rule recommendations based on emerging patterns
- Backtesting and shadow mode validation
- Real-time alert generation
- Graph-based rule analysis for entity relationships
- 314(a) compliance automation
- 40+ dashboard monitoring and KPI tracking
What AML Transaction Monitoring is used for
- Detecting hidden financial crime risk across data
- Preventing financial crime proactively
- Meeting global regulatory expectations
- Reducing false positives
- Identifying money mules and suspicious patterns
Who AML Transaction Monitoring is for
- Banks
- Financial institutions
About Unit21
AI agents for fraud detection, AML transaction monitoring, and financial crime investigations.
Unit21 in the vendor registry: its products, features and similar vendors.
Also by Unit21
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- AI Agent for Investigation: Automates investigation workflows by analyzing alerts, summarizing risks, generating case narratives, and surfacing linked entities with…
- Real-Time Monitoring: Detects and blocks fraud in real-time across payment channels with sub-250ms latency using device intelligence, graph analysis, and…
- Device Intelligence: Provides unified Device Risk Score powered by device and behavioral signals to distinguish trusted users from risky environments.
- Fraud Consortium: Shared intelligence network covering 80M+ adults in the U.S. to identify bad actors before they reach platforms.
More in this category: AML, KYC and fraud detection software.
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