Enterprise architecture for privacy-preserving risk intelligence
This document defines RegNovaIQ's production architecture, security controls, model-governance boundaries, and operating model for sanctions, fraud, AML, narrative risk, and RACA-enabled compliance operations in regulated institutions.
Document profile
- Audience: CISO, CRO, compliance engineering, platform architecture
- Scope: platform architecture, controls, workflows, delivery model, and RACA operating surfaces
- Assurance: evidence-led operations, auditable decision traceability, and approval-bound agent execution
- Deployment: RegNovaIQ is delivered as hosted SaaS on Microsoft Azure in the EU. Other deployment models are not offered today.
A single risk-intelligence layer for regulated operations and governed autonomy
RegNovaIQ unifies high-volume screening, behavioral analytics, case workflows, governance evidence, and autonomous compliance agents into one operating surface. The platform is designed for enterprise control requirements: tenant isolation, deterministic auditability, explainable outputs, policy-driven deployment controls, and human approval gates around material actions.
Executive outcomes
- Reduce fragmented tooling and duplicate control logic across risk domains.
- Increase analyst throughput with explainable, prioritized evidence bundles.
- Strengthen supervisory readiness with exportable decision provenance.
- Support privacy-first collaboration without raw-data co-mingling.
- Expose autonomous investigation, regulatory-change, and release-governance surfaces without bypassing human control boundaries.
Regulated risk teams face a cross-boundary signal problem
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.
Hard constraints
Confidentiality
Sensitive data handling must satisfy jurisdictional privacy obligations and internal information barriers.
Auditability
Material risk actions must be reproducible, reviewable, and attributable to governed models and policies.
Operational performance
Decisioning paths must meet near-real-time service expectations for onboarding and payment workflows.
Composable architecture with explicit control boundaries
The platform separates ingestion, intelligence, workflow orchestration, governance evidence, and RACA agent surfaces into independently scalable components with shared contract governance.
Ingestion and normalization
Connector-driven ingestion for sanctions, KYC, transaction, and external intelligence sources with validation, lineage tagging, and replay support.
Intelligence and scoring
Entity resolution, graph-attention analytics, behavioral scoring, and adaptive control policies under model-governance constraints.
Operations and evidence
Case workflows, analyst collaboration, and decision-provenance artifacts designed for supervisory and internal-audit inspection.
Autonomous investigation agent
Builds governed case packages, module summaries, SAR draft scaffolds, and review queues while preserving explicit approval handoff and evidence integrity.
Regulatory change autopilot
Expands impact packets into reviewer-routing, source-adapter, and remediation-handshake contracts for controlled compliance execution.
Compliance mesh and code intelligence
Combines posture drift scoring, rollback-aware remediation previews, repository traceability, and deploy-impact gating across admin and customer-safe surfaces.
Security and compliance controls mapped to execution layers
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, WebAuthn/FIDO2 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 |
How RegNovaIQ is delivered to enterprise risk organizations
RegNovaIQ is delivered as hosted SaaS on Microsoft Azure in the EU. Other deployment models are not offered today.
Operating principles
- All critical control surfaces are configuration-driven and auditable.
- No production path is closed without runtime verification evidence.
- Workflows are validated across UI, API, and persistence layers.
- Release governance is enforced through branch protection, deploy-impact gates, and reviewer handoff metadata.
Service-level outcomes and control KPIs
Detection quality
Precision/recall stability by risk type, monitored with drift thresholds and governed retraining triggers.
Operational latency
Decision-path and analyst-action SLA tracking across screening, triage, escalation, and closure stages.
Assurance readiness
Audit export completeness, evidence chain integrity, and control-attestation coverage over time.
Structured delivery from baseline to enterprise-scale operations
Phase A: Baseline integrity
Route/page inventory, auth-link correctness, tenant-scoped onboarding controls, and deterministic verification packs.
Phase B: Workflow hardening
End-to-end workflow validation across onboarding, risk triage, remediation, and notification paths with runtime evidence capture.
Phase C: Governed autonomy
Expose autonomous investigation, regulatory autopilot, compliance mesh, and code-traceability surfaces across API, admin UI, client UI, and release governance artifacts.
Phase D: Scale and assurance
Performance tuning, resilience drills, governance finalization, and regulator-ready reporting artifacts.
Request the full architecture and control pack
For due diligence and implementation planning, RegNovaIQ provides architecture deep-dives, control traceability matrices, and workflow assurance artifacts.
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