Prototype / MVP

Security controls must be reviewed again when implementation code, integrations, or deployment configuration are added.

• Never commit secrets, API keys, tokens, private credentials, .env files, customer exports, or private datasets.
• Use .env.example for placeholder configuration names only.
• Validate all user input before storage, scoring, AI processing, or external API calls.
• Do not log personally identifiable information or private customer data.
• Add authentication and authorization before handling protected business data.
• Review dependencies and provider integrations before public demos.

• Validate allowed widget origins.
• Add rate limiting and abuse controls before public deployment.
• Sanitize visitor input before display or AI processing.

• Make limitations clear to users.
• Avoid unsupported accuracy or reliability claims.
• Provide human handoff or review for sensitive, uncertain, or high-impact workflows.
• Prefer explainable factors for scores, summaries, and recommendations.

• Secret scan completed.
• .env.example is accurate.
• Input validation documented.
• Auth and authorization expectations documented.
• Logging reviewed for private data exposure.
• Responsible AI limitations documented.