Kenya Data Protection Act — AI Enforcement 2026
Kenya's Data Protection Act 2019 is actively enforced by the Data Commissioner. Any company processing M-Pesa transaction data, mobile airtime data, or user location data for AI credit scoring must register as a data controller, conduct DPIAs, and disclose automated decision-making to users.
The Developer Problem
Kenyan fintech and credit scoring companies are building AI models on M-Pesa data without registering with the Data Commissioner or conducting DPIAs. The Commissioner has made fintech a priority enforcement target.
What You Must Build
These are the exact technical components regulators will check for:
Data controller registration with Kenya Data Commissioner
DPIA (Data Protection Impact Assessment) for AI credit scoring models
Automated decision disclosure to users (in Swahili and English)
User consent for data processing beyond transaction execution
Consequences of Non-Compliance
KSh 5 million (~$38,000) per violation
Data Commissioner enforcement notice and public naming
Mandatory suspension of data processing pending compliance
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.
A lightweight TypeScript middleware wrapper. It intercepts the prompt at the Edge before it leaves your network, uses optimized local regex + lightweight NER to identify and hash all sensitive data, sends the clean prompt to the AI API, and decodes hashes back into real values only inside the secure browser context.
// pii-masker.edge.ts — intercept before prompt leaves network
import { maskPII, unmaskPII } from './pii-masker.edge'
// In your Next.js API route:
export async function POST(req: Request) {
const { prompt } = await req.json()
// Mask PII before sending to OpenAI
const { cleanPrompt, vault } = await maskPII(prompt)
const response = await openai.chat.completions.create({
messages: [{ role: 'user', content: cleanPrompt }]
})
// Restore real values only for the user's browser
const safeResponse = unmaskPII(response.choices[0].message.content, vault)
return Response.json({ content: safeResponse })
}