Detect, assess, and respond to suspicious activities instantly with STG’s AI-powered transaction monitoring solutions built for speed, scale, and compliance.
Our Transaction Monitoring systems leverage machine learning and behavioral analytics to detect unusual patterns and flag potential money laundering, fraud, and terrorist financing in real-time.
STG provides end-to-end platforms that monitor transactions across accounts, channels, and geographies, ensuring risk-based and rules-based alert generation.
From high-frequency trades and large-value transfers to offshore remittances and structuring attempts, we design intelligent systems that learn and evolve with each interaction.
Our transaction monitoring suite is customizable and supports:
Uses AI and machine learning to flag transactions that deviate from customer or market behavior.
Monitor all transactions across channels — including cards, wires, mobile wallets, and crypto — as they happen.
Set up dynamic scenarios and rules tailored to your business model, regulatory scope, and fraud risk.
Detect layered suspicious activities by analyzing data across multiple systems and transaction types.
Built-in case management with alert prioritization, audit trails, and reporting tools.
Quick deployment across core banking, payment processors, digital wallets, and compliance systems.
Customer Risk Profiling
Dynamic risk scoring based on transaction patterns, geography, and historical behavior.
Suspicious Activity Detection (SAR)
Automatically generate alerts and support for SAR filing based on rule triggers or behavioral models.
Unusual Pattern Recognition
Identify structured payments, large-value anomalies, rapid movement of funds, and more.
Multi-Entity Monitoring
Consolidated transaction surveillance across individuals, business accounts, vendors, and correspondent banks.
Regulatory Reporting Enablement
Generate audit-ready documentation aligned with AML/CFT guidelines from FinCEN, FCA, SEBI, MAS, and others.
Risk Requirement Analysis
We assess your compliance scope, transaction volume, business model, and jurisdiction-specific obligations.
Rule & Behavior Engine Configuration
Define rule-based thresholds and behavioral models for real-time anomaly detection and alerting.
Data Ingestion & Integration
Ingest data from multiple channels — banking core, payments, wallets — via secure APIs and ETL pipelines.
Real-Time Monitoring & Alert Generation
Monitor every transaction instantly with AI-driven anomaly detection and risk scoring.
Case Management & Regulatory Reporting
Escalate alerts with detailed logs, assign workflows to analysts, and automate SAR/STR generation.
Detection Accuracy of high-risk activities with AI-driven anomaly scoring
Faster Alerting compared to traditional post-transaction monitoring systems
Reduction in Manual Investigations via intelligent alert prioritization and clustering
Compliance with real-time audit logs and reporting for AML/CFT obligations