Educational content only. VektorIndex provides software intelligence, research, and educational content. This guide is intended to help businesses understand software and technology topics and should not be considered legal, regulatory, or financial advice.
ISO/IEC 42001 — AI Management System Standard
ISO/IEC 42001:2023 is the first international standard for AI management systems — the AI equivalent of ISO 27001. Enterprise buyers (HSBC, AXA, Deutsche Bank) are now requiring ISO 42001 as a vendor qualification criterion for AI suppliers. It requires organisations to establish AI policies, risk assessment processes, and continuous monitoring.
The Developer Problem
Enterprise AI vendors losing deals because procurement teams require ISO 42001 compliance documentation in RFP responses. Building the evidence package (AI policy, risk register, impact assessments, monitoring procedures) from scratch takes 3–6 months without automation.
What You Must Build
These are the exact technical components regulators will check for:
AI policy document covering all AI systems in production
AI risk register with impact assessments for each system
Monitoring procedure for AI model performance degradation
Incident response procedure for AI system failures
Audit log of AI governance decisions and reviews
Consequences of Non-Compliance
Lost enterprise contracts — procurement disqualification
Blocked from EU government AI contracts
Competitive disadvantage as standard becomes baseline expectation
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 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.
// 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'
}
)