AI Regulation, Governance & Ethics

June 6, 2024

3 min

Why Privacy and GDPR Auditing for Software is Hard?

Privacy auditing, especially in the context of regulations like the General Data Protection Regulation (GDPR), presents significant challenges. Identifying personal data, tracking its flow through complex systems, and balancing privacy and security are just a few. In this blog post, we’ll explore why privacy auditing is hard and offer insights to help navigate this complex process.

Feiyang Tang, PhD

Affiliated Senior Advisor

Table of contents

Identifying Personal Data: A Complex Task

One of the first steps in privacy auditing is identifying personal data within your systems. This data includes names, addresses, identification numbers, and online identifiers like IP addresses and cookies. However, personal data can often be hidden within larger datasets, making it difficult to find and isolate. Additionally, as systems grow, it becomes increasingly difficult to pinpoint who processes what personal data and where it is located, complicating the identification task even further.

To tackle this challenge, organizations can use software tools that apply heuristics to match and locate privacy-related data such as IDs, addresses, and bank accounts. With manual assistance, these results can become highly reliable, aiding in the accurate identification of personal data.

Mapping Data Flows

After identifying personal data, the next step is mapping its flow through your software systems. Modern software systems are often intricate, with data moving through multiple components, microservices, and third-party integrations. Tracing the path of personal data is crucial for identifying vulnerabilities and ensuring compliance with GDPR principles like data minimization and purpose limitation.

This task requires collaboration between technical teams and data protection officers, as well as a solid understanding of software development, data modeling, and system architecture. Distinguishing flows involving more sensitive processing, such as data transmission and storage, also necessitates both technical and legal expertise.

Balancing Privacy and Security

Privacy and security, though often used interchangeably, are distinct yet interconnected concepts under GDPR. Privacy focuses on the appropriate use and protection of personal data, while security aims to safeguard systems and data from unauthorized access.

Using an analogy that I often use, data security is like the apartment block’s downstairs gate, controlling access to the entire infrastructure. Privacy, on the other hand, is like the window curtains within individual units, allowing residents to maintain privacy even when someone has legitimate access. While the gate (security) safeguards the overall premises, the curtains (privacy) enable control over personal information visibility. This analogy highlights their complementary yet distinct roles.

Bridging the Gap Between Technical and Legal Experts

One of the biggest challenges in privacy auditing is the need for close cooperation between technical experts and legal experts. These groups often find it difficult to communicate effectively because they operate in their own specialized domains. This communication gap can hinder the process of transforming technical findings into legal reports necessary for compliance.

The goal is to bridge this gap by providing a translation service that converts technical details into legal language. By doing so, it helps transform sound technical findings into comprehensive legal reports, facilitating compliance with privacy regulations. This process requires input from both sides: technical details provided by developers or CTOs and insights from managerial personnel to identify and analyze risks.

Continuous Monitoring and Improvement

Privacy compliance is not a one-time effort but an ongoing process. Organizations must stay vigilant to evolving threats, emerging technologies, and regulatory changes. Regular assessments, audits, and testing help identify vulnerabilities, evaluate current measures, and implement necessary improvements.

This continuous effort ensures that your privacy and security posture remains strong and adaptable.

Conclusion

Navigating the technical complexities of privacy auditing is challenging but essential. By effectively identifying personal data, mapping data flows, and balancing privacy and security, organizations can achieve compliance and build trust with customers and stakeholders. This journey demands technical expertise, cross-functional collaboration, and a commitment to continuous improvement.

While this article focuses on GDPR, the principles discussed are relevant to many privacy regulations globally. With the right approach, organizations can turn privacy compliance from a daunting task into a strategic advantage.

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