AML Shield Pro
A four-layer detection engine — Rules, AI Anomaly, Behavioural Analytics, and Network Intelligence — converging into a single Hybrid Risk Score with explainable factors and AUSTRAC-ready regulatory filing.
Four layers of intelligence. One explainable score.
Each layer independently evaluates the transaction stream, then results are weighted into a Hybrid Risk Score with plain-language reasons — not a black-box number.
Rules Engine
15+ typology rules covering structuring, smurfing, rapid fund movement, high-risk jurisdictions, and more.
AI Anomaly Detection
Unsupervised machine learning detects breakout behaviour and statistical outliers that rules cannot anticipate.
Behavioural Analytics
Dynamic customer baseline built from transaction history and peer group. Flags deviations in volume, velocity, and geography.
Network Analytics
Entity relationship graph traces direct and indirect connections to sanctioned entities, criminal networks, and UBO structures.
Not just “AI detected an anomaly.”
When Sentinel’s behavioural engine flags a customer, it shows exactly what changed and by how much — compared to their own history, their peer group, and statistical expectations.
That context is what makes an alert useful. It’s also what makes your SAR narrative defensible when AUSTRAC asks why the report was filed.
Everything your AML programme requires
Real-Time & Batch Monitoring
Ingest from core banking APIs, payment feeds, ISO 20022 streams, or batch upload. Alerts generated within seconds of ingestion.
Detection Studio
Create, test, and simulate AML rules before deployment. See projected alert volumes and false-positive rates on your own historical data.
Entity 360 Investigation
Every alert opens an Entity 360 view: transaction history, behavioural profile, network graph, sanctions checks, adverse media, and case notes in one workspace.
Explainable Hybrid Risk Score
Four-layer score with plain-language contributing factors. Every score is traceable to the specific rule, anomaly, deviation, or network signal that drove it.
AUSTRAC-Ready Reporting
Auto-generate SMR and TTR reports in AUSTRAC-required format. Validate fields, record the approval workflow, and maintain e-filing submission audit trail.
Continuous Feedback Loop
Investigator decisions — true positive, false positive, SAR filed — feed back into rule thresholds and model calibration. Detection improves with every case closed.
Build, simulate, and deploy AML rules — before they change your alert queue
Most AML systems require a professional services engagement to modify detection logic. Detection Studio lets your compliance team define rules, run simulations against historical transaction data, review projected alert volumes and false-positive rates — then deploy with version control and senior approval, no code required.
Before v4.2 of the Rapid Fund Movement rule went live, the team knew it would generate 2,381 alerts at an 11.4% false-positive rate. They adjusted thresholds until satisfied, then deployed with a single approval click.
Monitor the programme, not just the alerts
Enterprise AML requires visibility into investigator throughput, SLA compliance, rule performance, and backlog health — not just individual case outcomes.
From ingestion to AUSTRAC filing
See the detection engine in action
Book a 30-minute demo and walk through a live alert — from transaction ingestion to AUSTRAC filing.