Nomakkin Risk Radar

What Risk Radar Provides

Nomakkin Risk Radar is a verification and risk intelligence layer that brings findings from approved checks into one structured view. It helps identify discrepancies, material risk indicators, unresolved information, and relevant relationships while keeping the underlying findings visible.

Instead of asking teams to interpret disconnected reports and data points, Risk Radar organizes them into clear signals and an overall assessment such as Low, Medium, High, or Review Required. The purpose is to support better human decisions, not replace them.

How Risk Radar Works

Risk Radar sits above the verification process and turns completed findings into a consistent decision-support layer. A typical assessment follows five stages:

• Verify: Perform the agreed checks using approved sources and methods.
• Structure: Normalize findings into consistent statuses, discrepancies, severity levels, and evidence quality.
• Assess: Identify risk signals, conflicting information, and combinations of findings that require attention.
• Explain: Show what influenced the assessment instead of returning an unexplained score.
• Review: Allow the client to approve, escalate, investigate further, or request manual review.

Signals Risk Radar Can Bring Together

The exact assessment depends on the requested scope, jurisdiction, legal basis, consent requirements, and source availability. Depending on the case, Risk Radar may structure findings such as:

• Identity verification and information consistency
• Employment verification
• Education verification
• Sanctions and PEP screening
• Adverse information and reputation indicators
• Litigation and legally accessible background findings
• Corporate affiliations and relevant business relationships
• Document integrity and consistency findings
• Address or field-verification findings where available

Why Organizations Use Risk Radar

Risk Radar is designed for teams that need more than a collection of background-check results. It provides a consistent way to understand what was verified, what changed, what conflicts, and what requires attention.

• Faster review: Surface the findings that deserve attention without forcing teams to read every case from the beginning.
• Consistency: Apply a structured assessment framework across repeated verification workflows.
• Explainability: Keep the reasons behind each risk signal visible and traceable.
• Human control: Route uncertain or material findings to review instead of relying on automatic approval or rejection.
• Integration: Return structured outcomes to internal systems, onboarding flows, or third-party platforms.

Explainable by Design

A risk label without context is not enough. Risk Radar is designed to connect the overall assessment to the findings that influenced it. A result can show what was verified, what was inconsistent, which items were flagged, the relative severity of those findings, and whether additional review is recommended.

Identity                    Verified
Employment                  Confirmed
Education                   Discrepancy detected
Adverse information         No material findings
Corporate affiliations      Review required

Overall risk                Medium
Recommended action          Manual review

Operating Model

Nomakkin manages the agreed verification and risk-analysis workflow while the client retains control of the final decision. Checks are performed only within the applicable legal framework, agreed purpose, supported jurisdictions, and required consent or lawful basis. Where a component requires external authorization or licensed activity, it may be handled through appropriately qualified or licensed providers.

Risk Radar is intended as a decision-support layer. It does not automatically determine whether a person, company, employee, applicant, vendor, or counterparty should be accepted or rejected.

Deployment & Commercial Models

The appropriate model depends on your workflow, assessment volume, integration requirements, jurisdictions, and the checks included in each case.

API Integration

Risk Radar can be integrated into approved client workflows through secure REST APIs. Depending on the implementation, the integration can support creation of an assessment, status tracking, structured findings, risk signals, and outcome delivery through API responses or webhooks.

The structure below is illustrative and can be adapted to the agreed integration model.

Create a Risk Assessment:

POST /v1/risk-radar/assessments

Authorization: Bearer API_KEY
Content-Type: application/json

{
  "reference_id": "CASE-1842",
  "entity_type": "individual",
  "checks": [
    "identity",
    "employment",
    "education",
    "adverse_information",
    "corporate_affiliations"
  ],
  "callback_url": "https://yourapp.com/webhooks/nomakkin"
}

Assessment Creation Response:

{
  "assessment_id": "RR-10293",
  "status": "processing",
  "created_at": "2026-09-15T10:30:00Z"
}

Receive the Outcome Through a Webhook:

POST /your-webhook-endpoint

{
  "assessment_id": "RR-10293",
  "status": "completed",
  "risk_level": "medium",
  "recommended_action": "manual_review",
  "flags": [
    {
      "code": "education_discrepancy",
      "severity": "medium"
    },
    {
      "code": "corporate_affiliation",
      "severity": "review"
    }
  ]
}

Technical Notes

• All API requests require valid authentication credentials
• Webhook endpoints must use HTTPS
• Available checks and response fields depend on the agreed integration and jurisdiction
• Webhook delivery may support retry logic for temporary delivery failures
• Sensitive findings should be handled according to applicable privacy, retention, and access-control requirements

Control, Scope & Human Review

Every assessment is subject to the agreed scope and Nomakkin's internal acceptance controls. Requests may be declined where they fall outside applicable laws, professional standards, supported jurisdictions, available sources, required consent or lawful basis, or the agreed service scope.

Risk Radar is designed to highlight what requires attention, not to create an irreversible automated judgment. Material discrepancies, incomplete evidence, conflicting findings, or uncertain outcomes can be routed to manual review before the client makes a final decision.