This document defines RegNovaIQ's production architecture, security controls, model-governance boundaries, and operating model for sanctions, fraud, AML, and narrative risk programs in regulated institutions.
RegNovaIQ unifies high-volume screening, behavioral analytics, case workflows, and governance evidence into one operating surface. The platform is designed for enterprise control requirements: tenant isolation, deterministic auditability, explainable outputs, and policy-driven deployment controls.
Financial crime and systemic risk propagate through counterparties, entities, channels, and jurisdictions. Traditional siloed stacks optimize within single systems and underperform on cross-network detection and end-to-end evidence continuity.
Sensitive data handling must satisfy jurisdictional privacy obligations and internal information barriers.
Material risk actions must be reproducible, reviewable, and attributable to governed models and policies.
Decisioning paths must meet near-real-time service expectations for onboarding and payment workflows.
The platform separates ingestion, intelligence, workflow orchestration, and governance evidence into independently scalable components with shared contract governance.
Connector-driven ingestion for sanctions, KYC, transaction, and external intelligence sources with validation, lineage tagging, and replay support.
Entity resolution, graph analytics, behavioral scoring, and adaptive control policies under model-governance constraints.
Case workflows, analyst collaboration, and decision-provenance artifacts designed for supervisory and internal-audit inspection.
Controls are implemented as enforceable runtime policy, not documentation-only claims.
| Layer | Primary controls | Evidence artifacts | Failure containment |
|---|---|---|---|
| Identity and access | RBAC, tenant isolation, least privilege, MFA enforcement | Access logs, role mappings, auth event traces | Session revocation, scoped lockout |
| Data and transport | Encryption in transit/at rest, policy-bound retention, controlled export | Data lineage, export audit records, retention policy snapshots | Isolation boundaries, key rotation, export blocks |
| Model governance | Versioned model lifecycle, drift monitoring, approval gates | Model cards, rollout history, drift and retraining records | Rollback, promotion freeze, fallback scoring |
| Decision operations | Reason codes, provenance traces, human-in-loop checkpoints | Case evidence bundles, decision event chains, SLA traces | Manual override paths, escalation workflow |
RegNovaIQ supports controlled multi-tenant SaaS and enterprise-isolated deployment models with policy-based configuration and environment-specific controls.
Precision/recall stability by risk type, monitored with drift thresholds and governed retraining triggers.
Decision-path and analyst-action SLA tracking across screening, triage, escalation, and closure stages.
Audit export completeness, evidence chain integrity, and control-attestation coverage over time.
Route/page inventory, auth-link correctness, tenant-scoped onboarding controls, and deterministic verification packs.
A->B workflow validation across onboarding, risk triage, remediation, and notification paths with runtime evidence capture.
Performance tuning, resilience drills, governance finalization, and regulator-ready reporting artifacts.
For due diligence and implementation planning, RegNovaIQ provides architecture deep-dives, control traceability matrices, and workflow assurance artifacts.