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Nigeria NDPA — Nigeria Data Protection Act 2023

Data PrivacyNigeriaNDPA

Nigeria's NDPA 2023 established the Nigeria Data Protection Commission (NDPC), which has been actively issuing compliance directives and enforcement notices since 2024. With 220 million Nigerians and Africa's largest GDP, this is non-negotiable for any company with Nigerian operations.

⚠️
Maximum Penalty
₦10 million or 2% of annual gross revenue
Affects: Any company processing data of Nigerian residents.

The Developer Problem

NDPA requires registration as a data controller, appointment of a DPO, conducting Data Protection Impact Assessments (DPIAs), and filing compliance audit reports annually with the NDPC.

What You Must Build

These are the exact technical components regulators will check for:

1

NDPC data controller registration integration

2

Annual DPIA documentation system

3

Consent management in line with NDPA standards

4

Data breach notification to NDPC within 72 hours

Consequences of Non-Compliance

Fines up to ₦10 million or 2% of annual gross revenue

Operating licence revocation in Nigeria

NDPC public enforcement database listing

Drop-In Code Solution

Instead of building this from scratch (2–6 weeks of engineering time), use this production-ready package that implements all the required components above.

📋
AI Compliance Audit Logger
Cryptographic audit logs for every AI prompt and completion — required by EU AI Act and Colorado law.
$79
/month
⏱ Setup: 30 minutesNext.jsTypeScriptVercel EdgeCloudflare R2

A serverless Next.js edge middleware that automatically intercepts all LLM API calls, extracts required metadata (model, prompt hash, completion hash, timestamp, user context), and writes cryptographically signed audit records to the client's own storage bucket — never to VektorIndex servers.

Code Preview
// audit-logger.middleware.ts
import { withAuditLog } from './audit-logger.middleware'

export const POST = withAuditLog(
  async (req: Request) => {
    // Your existing AI API route — unchanged
    const response = await openai.chat.completions.create({ ... })
    return Response.json(response)
  },
  {
    storage: 'supabase',     // or 'r2', 's3'
    tableName: 'ai_audit_logs',
    hashPrompts: true,       // SHA-256 hash, never stores raw prompts
    includeUserContext: true,
    complianceMode: 'eu-ai-act'  // or 'colorado', 'both'
  }
)
Files Included
audit-logger.middleware.ts
audit-record.schema.ts
storage/r2-writer.ts
storage/s3-writer.ts
storage/supabase-writer.ts
compliance-report-generator.ts
README.md
LICENSE
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