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"Not a Pentest" Trust-Anker: GDPR compliance serves to protect personal data. No attack tools.
Moltbot AI Security · GDPR Compliance

Moltbot GDPR Compliance Setup

Privacy by Design for Moltbot — GDPR-compliant implementation with consent management, data minimization and data subject rights.

What is GDPR Compliance? Simply Explained

GDPR (General Data Protection Regulation) is like a data protection constitution for Europe: it regulates how companies collect, store and process personal data. Consent management captures explicit consents. Data minimization reduces data to the necessary. Right to erasure guarantees deletion on request. Record of processing activities (ROPA) documents all data flows. Without GDPR compliance, fines up to €20 million and reputation damage are at risk.

Jump to GDPR checklist and API

📋 GDPR Compliance Checklist

Record of processing activities (ROPA) createdArt. 30
Privacy policy current and completeArt. 13/14
Consent management implementedArt. 7
Cookie banner GDPR-compliantArt. 5/6
Right to information implementedArt. 15
Right to erasure implementedArt. 17
⚠️
Right to data portabilityArt. 20
Data Processing Agreements (DPA) with third partiesArt. 28
Data breach process (72h notification)Art. 33
⚠️
Data protection impact assessment (DPIA)Art. 35

🔐 Consent Management API

// moltbot/lib/consent-manager.ts
import { db } from './db';

type ConsentPurpose = 'analytics' | 'marketing' | 'functional' | 'necessary';

interface ConsentRecord {
  customerId: string;
  purposes: Record<ConsentPurpose, boolean>;
  consentVersion: string;
  ipAddress: string;
  userAgent: string;
  givenAt: Date;
}

export async function recordConsent(consent: ConsentRecord) {
  await db.query(
    'INSERT INTO consent_log (customer_id, purposes, version, ip, user_agent, given_at) VALUES ($1, $2, $3, $4, $5, $6)',
    [consent.customerId, JSON.stringify(consent.purposes), consent.consentVersion, consent.ipAddress, consent.userAgent, consent.givenAt]
  );
}

export async function checkConsent(customerId: string, purpose: ConsentPurpose) {
  const result = await db.query(
    'SELECT purposes FROM consent_log WHERE customer_id = $1 ORDER BY given_at DESC LIMIT 1',
    [customerId]
  );
  if (!result.rows[0]) return false;
  return result.rows[0].purposes[purpose] === true;
}

export async function withdrawConsent(customerId: string) {
  await db.query(
    'INSERT INTO consent_log (customer_id, purposes, version, ip, user_agent, given_at) VALUES ($1, $2, $3, $4, $5, NOW())',
    [customerId, JSON.stringify({ analytics: false, marketing: false, functional: false, necessary: true }), 'withdrawal', '0.0.0.0', 'system']
  );
}

🔗 Further Resources

CG

ClawGuru Security Team

✓ Verified
Security Research & Engineering · GDPR Compliance Specialists
📅 Published: 28.04.2026🔄 Last reviewed: 28.04.2026
This guide is based on practical experience with GDPR implementations for AI systems in production environments. The described best practices have been proven in real deployments and continuously improved.
🔒 Verified by ClawGuru Security Team·All information fact-checked and peer-reviewed
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