Detect suspicious activity without slowing good customers

Screening + monitoring + investigations in a single, auditable platform.

verifID AML unifies sanctions/PEPs/adverse-media screening, transaction monitoring (KYT), risk scoring, and investigations. Choose from explainable rules, machine-learning detectors, or a hybrid approach. Alerts flow into case management with evidence packs, reviewer workflows, and SAR/STR exports. Event-driven streaming ensures decisions keep pace with real-time payments—while signed logs and granular retention help you stay compliant across jurisdictions.

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AML monitoring dashboard

Core Capabilities

Sanctions & PEPs

Real-time and batch screening with ongoing monitoring and explainable matches.

Transaction Monitoring

Scenario rules: thresholds, velocity, structuring, peer groups, and typologies.

Risk Scoring

Multi-factor scores by product, channel, and jurisdiction with tunable weights.

KYT (Know Your Transaction)

Counterparty, device, geo, MCC, and behavioral signals enrich every transfer.

Case Management & SAR

Alert triage, notes, attachments, timelines, SAR/STR exports, and SLA metrics.

Event-Driven Streaming

Kafka-compatible pipelines for sub-second screening and monitoring decisions.

Detection Flow

  • Ingest

    Payments & events.

  • Screen

    Sanctions/PEPs/media.

  • Monitor

    Rules & ML checks.

  • Alert

    Risk-scored signal.

  • Investigate

    Case workflow & notes.

  • Report

    SAR/STR & audit trail.

Rules and machine learning for AML

Explainable Rules + ML Detectors

Start with proven, regulator-friendly rule templates and enhance coverage with anomaly and network-based ML models. Reduce false positives while keeping investigator outcomes explainable and defensible.

  • Out-of-the-box scenarios for common typologies
  • Anomaly, peer-group, and graph features
  • Champion/challenger experimentation
  • Post-decision explanations and evidence packs
See a live model A/B

Continuous Monitoring & Ongoing Due Diligence

Keep customers and entities under watch with periodic refresh, event-based triggers, and list updates. Auto-escalate to review when behavior or lists change; keep a full, signed timeline for supervisors.

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Continuous AML monitoring

Compliance & Privacy

FATF & Local Regs

Aligned with FATF recommendations and frameworks like AMLD/BSA/FinCEN.

GDPR & ISO 27001

Data minimization, encryption in transit/at rest, RBAC, and environment segregation.

Audit & Traceability

Signed logs, retention controls, and exportable evidence for regulatory exams.

SDKs, APIs & Integrations

Core Banking/Fintech

Connect decisions to onboarding, ledger, and CRM systems via REST/webhooks.

Payment Rails

Card, ACH/wires, wallets; stream events for sub-second monitoring.

Data Providers

Sanctions/PEPs, adverse media, and geodata with automatic updates.

Deployment

SaaS, on-prem, or hybrid with data residency and private networking.

AML FAQs

How do you reduce false positives?

Hybrid rules + ML, better name-matching, peer groups, and feedback loops from investigator outcomes.

Can we tune by market or product?

Yes—segment thresholds and scenarios per country, product, channel, or customer risk tier.

Do you support ongoing monitoring?

List updates, behavioral drift, and event triggers keep customers/entities under review over time.

What about evidence for regulators?

Exportable case files with timelines, notes, artifacts, and signed logs for supervisory exams.

AML at real-time speed

Detect risk, prove compliance.

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