Transaction monitoring

Detect anomalous behavior across every payment rail.

RegNovaIQ combines rule-based monitoring, behavioral analytics, and streaming anomaly detection to surface suspicious activity with full audit context — then routes it straight into a governed investigation and SAR workflow.

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Monitoring highlights

  • Streaming anomaly detection with adaptive thresholds
  • Behavioral baselines and customer segmentation
  • Cross-border flow analysis and jurisdictional risk scoring
  • Automated SAR workflows with multi-level approvals
Where it fits

Ongoing surveillance after the customer is onboarded

Screening stops bad actors at the door; monitoring watches the activity that follows. RegNovaIQ evaluates transactions as they stream, builds a behavioral picture of each customer, and escalates only what genuinely deviates — keeping analyst time focused on real risk.

Detect

Streaming rules and behavioral models score activity in real time, blending static policy with adaptive anomaly detection.

Triage

Alerts are prioritized by risk tier, scenario, and SLA, with contextual timelines and linked entities for fast review.

Report

Confirmed suspicion flows into a SAR workflow that assembles evidence and routes it through approval gates to filing.

Detection coverage

Rules, ML, and scenario orchestration

Blend static policy rules with adaptive detection models in a single orchestration plane. Every alert carries explainability and configurable escalation paths so analysts understand why it fired.

Behavioral thresholds Network analytics Real-time alerts Cross-border flows Scenario tuning

Operational intelligence

Analysts see contextual timelines, linked entities, and customer risk profiles to accelerate investigations and cut repetitive review.

Alert triage

Prioritize by risk tier, scenario, and SLA with suppression logic for known-good patterns.

Case linkage

Cluster related alerts and entities into a unified investigation instead of disconnected single alerts.

Regulatory reporting

Generate SAR-ready evidence packs with full audit trails and analyst notes.

Capabilities in depth

From detection to defensible decision

Streaming anomaly detection

Activity is scored as it arrives across payment networks, so emerging patterns are caught in near real time rather than the next batch cycle.

Real-Time

Behavioral baselines

Adaptive thresholds learn each customer's normal behavior and segment cohorts, reducing noise from legitimate but atypical activity.

Adaptive

Cross-border analysis

Flow analysis and jurisdictional risk scoring highlight layering, structuring, and high-risk corridor activity across borders.

Geographic Risk

Consortium correlation

Optional cross-institution alert correlation merges intelligence across boundaries to expose networks that no single institution can see alone.

Consortium Signal

Automated SAR filing

An end-to-end SAR workflow runs from detection to regulatory submission with multi-level approval gates and assembled evidence.

Regulatory Ops

Explainable alerts

Each alert documents the rule, model signal, and threshold that triggered it, so dispositions are defensible to auditors and regulators.

Explainability
Engines behind it

Shared intelligence, one risk picture

Monitoring runs on the platform's shared engines, so the same resolved entities and unified risk scores from screening and fraud follow each customer into surveillance — no siloed, contradictory views.

AURA — unified risk assessment ORACLE — risk orchestration Sentinel-SI — cross-institution risk

Built for analyst throughput

The goal is fewer, better alerts. Behavioral baselines, suppression logic, and case linkage reduce false positives while preserving a complete, auditable record of every decision.

Lower false positives SLA-driven routing Feedback-tuned models
Ready to modernize monitoring?

Deploy transaction monitoring that scales with your business

Connect your transaction rails and deploy risk policies in weeks, not quarters.

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