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Security: rosscyking1115/marketing-effectiveness-lab

Security

SECURITY.md

Security and Data Handling

Marketing Effectiveness Lab is a public portfolio project and should be treated as a demo analytics application, not a production system.

Current Data Policy

  • The bundled demo dataset is generated from deterministic synthetic code.
  • The project does not require API keys, passwords, or third-party service secrets.
  • Uploaded CSV files are parsed in memory by the Streamlit app for the active session.
  • Do not upload confidential customer, employee, financial, or platform-account data to the public demo app.

Production Readiness Notes

A production version should add authenticated access, tenant isolation, encrypted object storage, audit logging, secret management, connector OAuth flows, row-level data controls, and formal model approval workflows.

See docs/production-security-roadmap.md for the expanded roadmap.

Reporting Issues

If you find a security issue in this repository, please open a GitHub issue with enough detail to reproduce the problem. Do not include private data, credentials, or confidential exports in the issue.

There aren't any published security advisories