THE BANKiQ PLATFORM

One platform.
Complete fraud risk
management.

Detection, decisioning, investigation, intelligence and governance — unified in a single enterprise FRM platform, not a patchwork of point tools.

Enterprise FRM Platform

From signal to decision, in real time.

Every transaction, customer and channel flows through one continuous lifecycle.

01

Data Sources

Transaction, customer, device, behavioural and external data.

02

Intelligence Layer

Data enrichment, rules, AI/ML and cognitive scoring.

03

Risk Decisioning

A real-time engine scores and decisions every event.

04

Action

Approve, decline, step-up or alert — automatically.

05

Investigation

Alerts route into case management and analyst queues.

06

Governance

Audit trails, supervisory controls and regulatory reporting.

AI/ML Intelligence

Intelligence that learns as fraud
evolves.

Where BANKiQ differentiates from a conventional rules-only FRM platform. Open any capability with the + to see the detail.

Supervised, unsupervised and ensemble models score every event against learned fraud typologies rather than static thresholds. Models are trained on your own historical transaction, dispute and confirmed-fraud data.

Champion/challenger execution, drift monitoring and scheduled retraining keep model performance stable as fraud patterns shift.

External Model Ingestion Champion / Challenger Drift Monitoring

Each event receives a single composite score assembled from transaction, behavioural, device, network, beneficiary and historical dimensions.

Reason codes accompany every score, so analysts, supervisors and regulators can see exactly why an event was approved, challenged or blocked.

Explainable Decisions Reason Codes Weighted Signals

Per-customer and per-account behavioural baselines cover amount profile, velocity, timing, beneficiary patterns, geography, device posture and session interaction.

This exposes account takeover, social-engineering-driven transfers and mule behaviour that rule thresholds alone cannot separate from legitimate activity.

Anomaly Detection Peer Group Profiling Session Intelligence

Events are enriched inline with device fingerprint, SIM and telecom signals, IP and geolocation intelligence, beneficiary history, negative lists and consortium feeds.

Enrichment executes within the real-time budget, with graceful degradation and cached fallbacks.

Third-Party Signals Negative Lists Inline Enrichment

A no-code DSL lets risk teams author, simulate and version scenarios without a release cycle.

Every change is backtested against historical traffic and moves through maker/checker approval.

Pre-Packaged Scenarios DSL Rule Build Backtesting Maker / Checker

Rules, models and enrichment execute in one orchestrated pass, returning approve, decline, step-up or hold within the payment window.

Adaptive strategies shift thresholds by channel, segment, time window and live fraud pressure.

Sub-100ms Adaptive Strategies Horizontal Scale
Case Management & Operations

Where alerts become investigations,
and investigations become
outcomes.

A single operations workspace for analysts, supervisors and auditors.

Alerts are generated with a risk rank, typology tag and full decision context, then auto-routed by channel, value band, customer segment and regulatory sensitivity. Duplicate and related alerts are correlated into a single work item so analysts investigate an entity, not a stream of events.

SLA clocks, ageing views and escalation ladders are enforced per alert class, giving fraud-operations leadership a live picture of backlog, breach risk and analyst throughput against regulatory response windows.

Risk Ranking Auto-Routing SLA & Escalation Alert Correlation

A case consolidates every alert, transaction, customer, device, beneficiary and communication artefact into one investigation workspace, with linked-entity views that expose mule chains and repeat offenders across accounts and channels.

Structured dispositions, evidence attachments, notes and timestamped action logs produce an immutable audit trail suitable for internal audit, law-enforcement referral and regulatory reporting.

Linked Entities Evidence Trail Disposition Codes Regulatory Referral

Queues are defined by typology, channel, value, skill and shift, with automatic load balancing, follow-the-sun handover and surge capacity rules for incident conditions.

Productivity, dwell-time, hit-rate and false-positive metrics are tracked per queue and per analyst, turning operations tuning into a measurable feedback loop.

Skill-Based Routing Load Balancing Shift Handover Ops Analytics

Every sensitive action — rule promotion, threshold change, model activation, account block, funds hold or limit override — requires an independent checker, with role-based entitlements enforced down to the action level.

Segregation of duties, four-eyes approval, full before/after change capture and one-click rollback satisfy internal-audit and supervisory expectations.

Four-Eyes Approval RBAC Change Capture Rollback
Analytics & Governance

Platform capability matrix.

Detection through governance — one continuous capability rail, for evaluators who need the detail.

Stage 01

Detection

Signals from every channel are scored the moment they arrive.

  • Rules Engine
  • AI/ML Models
  • Behavioural Analytics
  • Risk Scoring
  • Anomaly Detection
Stage 02

Decisioning

Scores become enforced actions inside the payment window.

  • Real-Time Decision Engine
  • Policy Management
  • Risk Thresholds
  • Intervention & Step-Up
Stage 03

Investigation

Alerts flow into a controlled analyst operating model.

  • Alert Management
  • Case Management
  • Queue Management
  • Investigation Workspace
Stage 04

Intelligence

Context and learning feed back into future decisions.

  • Data Enrichment
  • External Models
  • Historical Data
  • Cognitive Scoring
Stage 05

Governance

Oversight, evidence and reporting across the full lifecycle.

  • Audit Trails
  • Supervisory Controls
  • Reports & Dashboards
  • Regulatory Reporting

Integrations

BANKiQ connects into your banking stack, payment rails and wider financial crime ecosystem — CBS, LOS, CRM, NPCI, I4C, DoT-FRI, MNRL, AML systems and external AI/ML models.

See the Integrations map →

Architecture & Security

Event-driven microservices, API-first integration, Kubernetes-ready deployment and high availability design built for enterprise transaction volumes.

Explore the Architecture →

See the BANKiQ platform in action.

Walk through detection, decisioning, investigation and governance with a fraud risk expert.