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Enterprise Security & Privacy Whitepaper

A technical overview of data handling, LLM interaction, and security safeguards in Boring.


🔐 Data Architecture

Boring follows a "Local-First, LLM-Assisted" architecture.

🏠 Local Storage (No Cloud sync)

  • Codebase Index: All vector embeddings (RAG) are stored locally in the project directory.
  • Learnings & Patterns: Experience gained is stored in local JSON files.
  • Logs: Execution logs and traces never leave your machine unless manually exported.

🌐 Outbound Traffic (LLM API)

Only the following data is sent to the LLM (Google Gemini or Anthropic Claude): 1. Prompt: The task instructions. 2. Code Chunks: Relevant snippets retrieved via RAG (filtered for relevance). 3. File Metadata: Filenames and directory structures needed for context.

[!IMPORTANT] Boring does not upload your entire repository to the cloud. It only sends snippets strictly necessary for the current task.


🛡️ Execution Safety

Shadow Mode

High-risk operations (file deletion, system command execution, network requests) are intercepted by the Shadow Interceptor. - Rule-based: You can whitelist paths or tools. - Human-in-the-Loop: Dangerous operations pause and wait for your explicit approval in the UI.

Quality Gates

Before any code is considered "final", Boring runs it through multiple local verification layers: - Static analysis (Linter) - Security scans (Secret detection, SAST) - Dynamic tests (Unit Tests)


⚖️ Privacy Compliance

  • No Training: We do not use your code to train foundation models.
  • Compliance: Boring respects .gitignore and .dockerignore to avoid indexing sensitive or temporary files.
  • Transparency: Every outgoing request and every tool execution is logged for audit purposes.

For enterprise environments, we recommend the following .boring.toml settings:

[security]
shadow_mode = "STRICT"      # Require approval for all write operations
scan_for_secrets = true     # Block commits containing API keys
allowed_domains = ["*"]     # Restrict outgoing network calls if necessary