Detection Rules
Configure institution-specific AML rules aligned with your risk appetite and compliance strategy.
Rule Definition
Adapt Detection Strategies as Financial Crime and Regulations Evolve.
Configure and optimize detection rules that adapt to your institution’s risk appetite, regulatory requirements, and emerging financial crime typologies.
Feature Breakdown
Built for Adaptive Detection
Rule Definition in Natech AML is a configurable AML rules capability that gives compliance teams control over how suspicious activity is detected. It enables institutions to define detection scenarios, thresholds, and risk parameters without relying on rigid, hard-coded logic, helping teams adapt monitoring to their risk appetite, customer base, and evolving financial crime patterns.
Scenario Testing
Validate and refine detection scenarios before deployment to improve alert quality.
Risk Thresholds
Fine-tune thresholds and detection logic to balance operational efficiency with effective risk coverage.
AI Capabilities
How is AI Involved?
Recommend rule improvements and optimize detection coverage using historical alert performance and emerging typologies.
Case Studies
Adapt Detection Logic to Your Institution's Risk Strategy
See how compliance teams tuned detection rules and thresholds to improve alert quality as their risk profiles and regulatory expectations changed.
Core Banking Integration
Modernizing core banking operations to improve efficiency, expand digital services, and strengthen customer-centric banking experiences.
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Stronger Compliance
Strengthening AML operations through real-time monitoring, behavioral analytics, and automated compliance workflows.
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Fully Digital Neobank
Built a fully digital, ECB-licensed neobank on Natech's unified front-to-back banking platform.
Learn moreFAQ
Common Questions About AML Rule Definition
Find answers to common questions about configuring, testing, and tuning AML rules in Natech AML.
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Scenario testing in Natech AML lets you run a new or changed rule against historical data to see the alerts it would have generated, so you can tune thresholds and check alert quality before deployment.