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EU DORA — Digital Operational Resilience Act

Financial ServicesEU LawDORAAudit Logging

EU DORA requires all financial entities — banks, insurers, investment firms, crypto asset providers — to test all ICT systems including AI models for operational resilience. AI trading models, fraud detection systems, and credit scoring engines all need documented resilience tests and incident audit logs.

⚠️
Maximum Penalty
1% of average daily worldwide turnover per day of infringement
Affects: Banks, insurers, investment firms, e-money institutions, crypto asset service providers, and their AI/tech vendors in the EU.

The Developer Problem

Every AI model used by a financial institution is now an ICT system under DORA. Banks need documented resilience tests for each model, concentration risk analysis for third-party AI providers (OpenAI, Anthropic), and incident logs for any AI model failure or degradation.

What You Must Build

These are the exact technical components regulators will check for:

1

ICT resilience testing documentation for each AI model in production

2

Third-party AI provider concentration risk register

3

AI incident log with timestamped entries for model failures

4

Business continuity plan if AI model provider becomes unavailable

Consequences of Non-Compliance

1% of average daily worldwide turnover per day of infringement

Management body personal liability

Publication of enforcement measures

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
eu dora ai model documentation requirements fintech 2026, dora ict resilience testing ai models typescript, eu dora compliance audit trail financial services, dora third party ai provider concentration risk