GDPR Code Scanning

KafkaCode helps developers find privacy risks in source code before they become production issues. It is not a legal compliance certification tool, but it can support GDPR and CCPA engineering workflows by identifying code that exposes or mishandles personal data.

npx kafkacode scan ./src

Privacy Risks KafkaCode Helps Catch

• Hardcoded personal data in source files
• Test fixtures containing emails or phone numbers
• Logs that include user identifiers or sensitive fields
• Insecure transmission patterns found by optional AI analysis
• Secrets and tokens that could expose systems containing personal data

Local Pattern Scanning

KafkaCode's default pattern scanner runs on your machine. This makes it useful for regulated teams that need privacy checks without sending source code to a hosted service.

kafkacode scan ./src --no-ai

Optional Contextual AI Analysis

Some privacy issues require context, such as a user email being written to a log or sent over an insecure channel. KafkaCode can perform optional AI analysis when you bring your own OpenAI-compatible API key.

export KAFKACODE_API_KEY=your_key_here
kafkacode scan ./src

Without an API key or backend endpoint, AI analysis is skipped.

Privacy Grade

KafkaCode converts findings into an A+ to F privacy grade. This makes it easy to track risk across repositories and pull requests.

See Privacy Grade for the scoring model.