Open Source Solutions for Privacy Engineering
Deploy open source privacy tools — anonymization, data discovery, and consent management — without enterprise licensing costs.
About This Course
About This Course
Organisations often face budget constraints and resource limitations when implementing comprehensive privacy protection measures. This course addresses the challenge by introducing participants to a range of effective, cost-efficient open source tools and strategies that can be integrated into their privacy engineering processes. Participants gain the knowledge and skills needed to harness the potential of open source solutions, enabling them to create a privacy-focused digital environment while optimising resources and minimising costs.
What You Will Learn
- Navigate the landscape of open source privacy tools and assess their suitability
- Deploy data discovery and classification tools to identify personal data across systems
- Implement anonymisation pipelines and open source consent management platforms
- Validate GDPR compliance using open source tooling
- Integrate privacy tools into existing development workflows
Prerequisites
- Basic understanding of data management and databases
- Familiarity with GDPR or similar data protection regulations
- No prior experience with privacy tooling required
Agenda
-
Open Source Privacy Tooling Overview · 45 min
Landscape of open source privacy tools. Selection criteria for anonymisation, consent management, and data discovery solutions. -
Data Discovery and Classification · 60 min
Hands-on with open source tools for identifying and classifying personal data across databases, file systems, and APIs. -
Anonymisation and Consent Management · 60 min
Implementing anonymisation pipelines and deploying open source consent management platforms. GDPR compliance validation. -
Building a Privacy Toolchain · 45 min
Integrating tools into development workflows. Measuring effectiveness and planning for long-term maintenance. Q&A session.