GDPR Compliance: Three Critical Checks SaaS Founders Overlook

Many SaaS products miss essential GDPR requirements beyond initial launch. This guide details three critical checks, including ROPA, DSR automation, and Legitimate Interest Assessments, to avoid significant fines.

GDPR enforcement actions are increasing annually, with penalties reaching €10M or 2% of global turnover for violations. Many SaaS products overlook critical compliance checks after initial launch, exposing founders to significant legal and financial risk. This oversight often stems from a lack of awareness regarding ongoing obligations, not developer indifference, as highlighted by a recent dev.to blog post on the subject.

Maintaining a Data Processing Register (ROPA)

The GDPR mandates that all organizations processing personal data maintain a Record of Processing Activities, or ROPA, as outlined in Article 30. Many developers remain unaware of this requirement. A ROPA must comprehensively document the types of data collected and the specific reasons for collection. It also requires stating the legal basis for processing, such as explicit consent, a legitimate interest, or contractual necessity. Founders must also specify data retention periods, detailing how long each category of data is kept. Crucially, the ROPA must list all third-party processors, from cloud providers like AWS to payment gateways like Stripe and analytics services like Mixpanel. Any cross-border data transfers must also be recorded. Failure to maintain an adequate ROPA can result in fines up to €10M or 2% of global turnover, whichever is greater. This is not a one-time setup but an evolving document reflecting current data practices.

Automating Data Subject Requests

Users possess fundamental rights under GDPR, including the right to access, rectify, erase, and port their personal data. Organizations must fulfill these Data Subject Requests (DSRs) within 30 days. For many SaaS products, DSRs are handled manually, a process that becomes unsustainable and prone to error as user bases grow. The dev.to article provides a minimum viable DSR handler code snippet, specifically for data erasure:

// Minimum viable DSR handler
app.post('/api/dsr/erasure', authenticate, async (req, res) => {
  const userId = req.user.id;
  // Must delete from ALL systems — not just your main DB
  await Promise.all([
    db.users.delete(userId),
    analyticsService.deleteUser(userId),
    emailService.unsubscribeAll(userId),
    backups.scheduleDataPurge(userId), // often forgotten
  ]);
  res.json({ status: 'processing', deadline: addDays(new Date(), 30) });
});

This example emphasizes the necessity of deleting user data across all systems, not just the primary database. This includes analytics platforms, email marketing services, and crucially, scheduled purges from backups. Ignoring these interconnected systems means an erasure request is incomplete, leaving data fragments that violate compliance. Automating this process ensures timely and comprehensive fulfillment of DSRs, mitigating the risk of non-compliance at scale.

Assessing Legitimate Interest Correctly

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