Strong security shouldn't create friction for a growing institution. Ours is designed to satisfy regulators and your internal risk function without becoming a barrier to the business decisions that matter.
Governed by design REGULATOR-READY
Role-scoped access
Every action attributable to a user.
Versioned extensions
Full change history, timestamped.
Full audit trail
Every query logged and reviewable.
Explainable AI
Defensible answers for every decision.
Built for the specific regulators, specific requirements and specific enforcement priorities our customers face in Asia, Africa and Europe. Every control is in production today, audited regularly, and shareable transparently with your auditors, your board, and your regulator.
Independently audited information security management, not a self-assessment. The standard your enterprise customers and regulators expect to see.
Data encrypted at rest and in transit, using current encryption standards. Key rotation managed automatically across every layer.
24/7 threat detection and response, with complete audit trails for every transaction, every API call and every administrative action, escalated in real time.
Built around what regulators in Asia, Africa and Europe actually require, BSP, CBN and OJK directives addressed in the platform architecture, not in workarounds.
Warm standby in a second datacentre, tertiary backup in a third geographically separate location. Regulatory resilience requirements met by design.
Granular access policies, MFA, and per-user API scopes across every entry point. No implicit trust between services, every request authenticated and logged.
As AI is deployed in credit decisions, fraud detection and customer communications, regulators across our markets are asking the same questions: can you explain this decision? Can you show the audit trail? Can you demonstrate the model is working as intended?
Every automated decision, credit approval, fraud flag, account restriction, is logged with the inputs that drove it. When a regulator or customer asks why, you have a complete, auditable answer.
Every change to a model or scoring rule is versioned and documented. Show exactly what model was running at any point in time and what it was doing, essential for regulatory examination.
Track model performance against live data continuously. Detect drift before it becomes a compliance problem. OJK's AI governance guidelines, CBN AML requirements and BSP expectations all require this.
Define exactly which users and systems can access which AI capabilities, which data and which workflows. Compliance teams see what they need. Operations teams see what they need. Nothing bleeds across.
Every event, every decision, every model interaction is written to an immutable log. When your regulator asks what happened to a specific customer on a specific date, the answer is already there, not reconstructed.
The CBN's March 2026 Baseline Standards for Automated AML Solutions, the January 2026 fraud response directive, and updated digital banking rules all require specific technical capabilities: real-time transaction monitoring, unified customer views, BVN/NIN validation and AML model governance. Oradian's compliance module and data architecture support all of these.
BSP Circular 1213 requires phishing-resistant authentication. The digital bank licensing framework requires demonstrable fraud controls and real-time monitoring. The tiered capital framework links digital adoption to capital requirements. Oradian is built around these expectations, not adapted from a different regulatory environment.
The OJK's April 2025 AI Governance guidelines establish minimum standards for the full AI lifecycle. Oradian's governed extension framework, version-controlled model management and audit trail infrastructure are directly aligned with these requirements.

ISO 27001, SOC 2, role-scoped access and a full audit trail on every change. Defensible by design.
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