Privacy by Design
Embed privacy controls into your development lifecycle
Shift privacy left in your engineering organization. TruePrivacy integrates into your CI/CD pipeline to catch privacy issues before they ship, automate DPIA triggers for new features, and ensure data minimization is enforced by default.
Shift-left
Privacy enforcement
100%
PR coverage
Zero
Missed DPIA triggers
10x
Cheaper than post-launch fixes
How It Works
- 1
Integrate with Your CI/CD Pipeline
Connect TruePrivacy to your GitHub, GitLab, or Bitbucket repositories and CI/CD pipeline with a one-time configuration. Privacy scanning runs automatically on every pull request.
- 2
Scan Code for Privacy Issues
Static analysis identifies patterns that suggest new personal data collection, insecure handling, missing encryption, or data retention violations before code is merged.
- 3
Trigger DPIAs Automatically
When a pull request or product spec indicates new processing activities that may require a DPIA, TruePrivacy automatically opens a DPIA workflow and assigns it to the DPO.
- 4
Document and Enforce Policies
Privacy policies are enforced as code-level checks. Developers see inline feedback, documentation templates are auto-generated, and compliance gates prevent non-compliant code from deploying.
Benefits
Find Issues Before They Ship
Privacy issues caught at the pull request stage cost a fraction of what they cost to remediate after deployment. Privacy by design prevents debt accumulation.
Automated DPIA Triggering
DPIAs are often missed because no one tells the DPO about new features. TruePrivacy automates the trigger so privacy review is never accidentally skipped.
Developer-Friendly Tooling
Inline feedback in the tools developers already use — GitHub PR comments, Jira tickets, Slack alerts — means privacy compliance fits into existing workflows without friction.
GDPR Article 25 Evidence
Generate evidence of privacy by design and by default for regulators, demonstrating that privacy is embedded in your development process rather than bolted on afterward.
Key Features
- CI/CD privacy scanning integration
- Automated DPIA triggers for new processing
- Personal data tagging in code repositories
- Data minimization policy enforcement
- Privacy risk scoring for new features
- Developer privacy documentation templates
Detailed Capabilities
CI/CD Privacy Scanning
Automatic privacy scans on every pull request using static analysis rules that detect personal data handling patterns, missing security controls, and policy violations.
Automated DPIA Triggers
Rule-based detection of new processing activities from code changes, product specs, and Jira tickets that automatically open DPIA workflows when thresholds are met.
Personal Data Tagging
Annotate code and data models with structured personal data tags that feed your data inventory automatically and surface data flows during review.
Data Minimization Enforcement
Policy-as-code rules that flag collection of data fields not listed in your approved data inventory, preventing scope creep before it reaches production.
Privacy Risk Scoring
Every feature or code change that touches personal data receives a privacy risk score, prioritizing DPO review time on the highest-impact changes.
Developer Documentation Templates
Auto-generate privacy documentation for new features — data flow diagrams, purpose statements, and retention schedules — that developers fill in as part of the build process.
Who It Helps
Regulations Covered
Frequently Asked Questions
Privacy by design means building privacy protections into systems from the start — using data minimization, encryption by default, access controls, and purpose limitation as standard engineering practices rather than afterthoughts.
TruePrivacy uses standard repository integrations (GitHub App, GitLab OAuth) that grant read access to code for scanning. Your code is analyzed in an isolated environment and never stored on TruePrivacy infrastructure.
GDPR requires DPIAs for processing likely to result in high risk — including large-scale processing, systematic profiling, processing of sensitive categories, and systematic monitoring. TruePrivacy's rule engine detects these patterns from code and product specifications.
Yes. TruePrivacy ships with a default ruleset covering common privacy patterns, and organizations can add custom rules based on their specific data policies, technology stack, and industry requirements.
TruePrivacy creates Jira tickets for identified privacy issues, links them to the relevant pull request, and automatically closes them when the issue is resolved — keeping privacy tasks visible in your existing project management workflow.
Ready to automate Privacy by Design?
See how TruePrivacy handles this use case for organizations like yours.