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February 10, 20268 min readgdpr

Legacy Data Privacy (GDPR): Mapping Hidden PII Workflows Visually

R
Replay Team
Developer Advocates

The average enterprise is sitting on a $3.6 trillion technical debt mountain, and most of it is a GDPR time bomb. When 67% of legacy systems lack up-to-date documentation, your compliance strategy isn't a strategy—it's a gamble. For the CTO of a financial services or healthcare firm, the "black box" nature of legacy software isn't just a maintenance headache; it’s a legal liability where hidden PII (Personally Identifiable Information) flows through undocumented pathways, invisible to modern auditing tools.

Traditional "archaeology-based" modernization—where developers spend months manually tracing COBOL, Java, or .NET logic—is too slow for the pace of modern regulation. With 70% of legacy rewrites failing or exceeding their timelines, the industry needs a shift from manual discovery to automated visual extraction.

TL;DR: Visual Reverse Engineering allows enterprises to map hidden PII workflows and achieve gdpr compliance by recording real user interactions and automatically generating documented, modern React components and API contracts.

The Invisible Liability: Why Manual Audits Fail#

Legacy systems were often built before the concept of "Privacy by Design" existed. In these environments, PII isn't always stored in a clearly labeled

text
Users
table. It’s often buried in session state, passed through obscure middleware, or hardcoded into business logic.

When a GDPR audit requires you to map every instance of data processing, manual discovery is the bottleneck. It takes an average of 40 hours per screen to manually document and reverse-engineer a legacy interface. In a system with 500 screens, that’s 20,000 hours of high-cost engineering time just to understand what you already have.

The Documentation Gap#

The "documentation gap" is where compliance goes to die. Because 67% of legacy systems lack accurate documentation, architects are forced to guess. This leads to:

  • Shadow PII: Data fields that are collected but never audited.
  • Leaky API Contracts: Legacy endpoints that expose more data than the UI actually displays.
  • Logic Drift: Business rules that have changed over 20 years, making the original source code misleading.

Mapping gdpr Workflows via Visual Reverse Engineering#

Visual Reverse Engineering flips the script on modernization. Instead of reading dead code, we record living workflows. By using Replay to capture real user interactions, we can see exactly how data moves from the UI to the backend, identifying every PII touchpoint in real-time.

From Black Box to Documented Codebase#

Replay transforms the "black box" into a transparent, documented React-based architecture. It identifies the data structures being passed in the background, allowing teams to generate API contracts that are inherently compliant because they are based on actual usage, not theoretical code.

Modernization ApproachDiscovery TimelineGDPR RiskCost EfficiencyDocumentation Quality
Big Bang Rewrite18-24 MonthsHigh (70% fail)$$$$Low (Manual)
Strangler Fig12-18 MonthsMedium$$$Medium
Manual Archaeology6-12 MonthsHigh$$$Variable
Replay (Visual)2-8 WeeksLow$High (Auto-gen)

💰 ROI Insight: Companies using Replay see an average of 70% time savings. By reducing the time per screen from 40 hours to 4 hours, an enterprise can save millions in engineering overhead while accelerating their compliance roadmap.

Identifying Hidden PII in Legacy Components#

One of the greatest challenges in gdpr compliance is identifying "hidden" PII—data that is processed by the frontend but never explicitly labeled. For example, a legacy insurance portal might process a Social Security Number (SSN) in a masked field, but the underlying JavaScript might be transmitting it in plain text to a logging service.

Replay’s AI Automation Suite analyzes the recorded flows to flag these patterns. When Replay generates a modern React component from a legacy recording, it doesn't just copy the UI; it structures the business logic and identifies the data schema.

Example: Generated Component with PII Awareness#

Below is a conceptual example of how Replay extracts a legacy form and prepares it for a modern, compliant architecture.

typescript
// Generated by Replay from Legacy Insurance Workflow // Source: legacy_portal_v2/claims/process.aspx import React, { useState } from 'react'; import { ModernInput, DataGuard } from '@enterprise-ui/core'; export const ClaimsProcessor: React.FC = () => { const [formData, setFormData] = useState({ patientName: '', // Identified PII policyNumber: '', // Identified PII claimAmount: 0, internalNote: '' // Non-PII }); // Replay preserved business logic: // Validation for policy number format extracted from legacy JS const validatePolicy = (num: string) => { return /^[A-Z]{3}-\d{9}$/.test(num); }; return ( <form className="p-6 space-y-4"> <DataGuard level="restricted"> <ModernInput label="Patient Name" value={formData.patientName} onChange={(e) => setFormData({...formData, patientName: e.target.value})} /> </DataGuard> <ModernInput label="Policy Number" value={formData.policyNumber} error={!validatePolicy(formData.policyNumber)} onChange={(e) => setFormData({...formData, policyNumber: e.target.value})} /> {/* Additional logic preserved from recording... */} </form> ); };

⚠️ Warning: Relying on legacy source code for PII mapping often misses data that is injected at runtime or handled by third-party legacy scripts. Visual recording is the only way to ensure 100% coverage of the user's data experience.

The 3-Step Process for Visual gdpr Mapping#

Modernizing for privacy doesn't require a two-year roadmap. By following a visual-first approach, enterprises can achieve "compliance by discovery" in weeks.

Step 1: Record and Library Generation#

Users or QA testers perform standard workflows—onboarding a client, processing a claim, or updating a profile. Replay records these interactions. The Library feature then categorizes these as reusable Design System components, ensuring that the new UI is consistent and compliant with accessibility and privacy standards.

Step 2: Flow and Schema Extraction#

The Flows feature maps the sequence of events. This is where the gdpr mapping happens. Replay identifies the API calls triggered by the UI. It generates an OpenAPI (Swagger) contract that explicitly defines which fields are being sent to the backend.

json
// Generated API Contract - PII Mapping { "path": "/api/v1/update-profile", "method": "POST", "pii_fields": [ { "field": "dob", "type": "date", "risk_level": "high", "reason": "GDPR Article 9: Sensitive Personal Data" }, { "field": "home_address", "type": "string", "risk_level": "medium" } ] }

Step 3: Blueprint and Audit#

Using the Blueprints editor, architects can review the extracted logic. This is the final stage where technical debt is audited. Instead of an 18-month rewrite, you have a functional, documented React application in days.

Solving the "Black Box" Problem in Regulated Industries#

For Financial Services and Healthcare, the stakes of gdpr are compounded by HIPAA and SOC2 requirements. You cannot move data to the cloud if you don't know what data you're moving.

Replay is built for these environments. It offers:

  • On-Premise Deployment: Keep your reverse engineering internal.
  • SOC2 & HIPAA-Ready: The platform itself meets the highest security standards.
  • Air-Gapped Support: For government and high-security manufacturing sectors.

💡 Pro Tip: Use Replay’s E2E test generation to automatically create a suite of privacy tests. If a future update accidentally exposes a PII field in the UI, your automated tests—generated during the modernization phase—will catch it.

The Future Isn't Rewriting—It's Understanding#

The tech industry has been obsessed with "The Great Rewrite." We've been told that to modernize, we must destroy. But the statistics tell a different story: 70% of those destructions fail. The $3.6 trillion technical debt problem won't be solved by writing more code; it will be solved by understanding the code we already have.

By using video as the source of truth for reverse engineering, Replay allows you to bridge the gap between legacy liability and modern compliance. You aren't just moving from an old framework to React; you are moving from a state of "compliance by accident" to "compliance by design."

Frequently Asked Questions#

How does Replay identify hidden PII if it's not labeled in the legacy code?#

Replay monitors the data objects passed during a user session. By analyzing the patterns of the data (e.g., 9-digit strings, address formats, email structures) and the context of the UI labels, our AI Automation Suite flags potential PII fields for architect review, even if the legacy backend uses obfuscated variable names like

text
VAR_99
.

Can Replay handle legacy systems like Mainframes or old Delphi apps?#

Yes. Because Replay uses Visual Reverse Engineering, it focuses on the user's interaction and the network/data layer. As long as there is a web-based or terminal-emulated interface that a user interacts with, Replay can record the workflow and extract the underlying logic and data structures into modern React components.

What is the average timeline for a gdpr mapping project with Replay?#

While a manual audit of a complex legacy system can take 12-18 months, a Replay-driven extraction typically takes 2-8 weeks. This includes the recording of all major workflows, the generation of the component library, and the production of documented API contracts.

Does Replay store our sensitive legacy data?#

No. Replay offers on-premise and private cloud deployment options. For highly regulated industries, you can run Replay entirely within your own infrastructure, ensuring that no PII or proprietary business logic ever leaves your security perimeter.

How does this assist with the GDPR "Right to be Forgotten"?#

To delete a user's data, you must first know everywhere it is stored and processed. Replay provides a comprehensive map of all data flows. By identifying every legacy endpoint that touches a specific PII field, you can ensure that your "Right to be Forgotten" workflows are exhaustive and include the legacy systems that are often overlooked in manual audits.


Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.

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