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Overview

Entry point for security, data boundaries, provenance, and trust posture.

This section explains why the outputs can be trusted as run artifacts without overclaiming what the platform proves scientifically.

What this section covers​

  • Security controls and operational boundaries
  • Data handling and trust boundaries
  • Auditability and run provenance
  • Cryptographic sealing and verification
  • Retention, deletion, and self-hosted trust differences
  • Direct and Marketplace policy documents for privacy, billing, terms, and support

Trust model in one sentence​

Glassbox Bio is designed to produce evidence-linked, machine-verifiable, cryptographically sealed run artifacts. That means the platform is built to make computational execution and provenance auditable. It does not claim to replace scientific review, wet-lab confirmation, or customer governance policy.

Why this matters​

Users need a clean distinction between:

  • Confidence that the run artifact is authentic and reproducible
  • Confidence that the underlying science is sufficient for a downstream decision

This section exists to keep those two claims separate.