Blog
Insights on software provenance, security, and compliance.
What Is Software Provenance? A Complete Guide for Security Teams
Software provenance tracks the origin, history, and integrity of every component in your codebase. Learn why it matters for supply chain security and how to implement it.
How AI-Origin Detection Works: 47 Signal Types Explained
AI-origin detection combines stylometry, entropy, dependency context, and commit history to estimate whether code was human-written, AI-assisted, or AI-generated.
EU AI Act Compliance for Engineering Teams: A Practical Guide
Engineering teams can prepare for EU AI Act obligations by documenting AI-assisted code, dependency lineage, risk classifications, and human review decisions.
What Is AI Model Provenance and Why Auditors Now Require It
AI model provenance provides verifiable evidence of how a model was trained, what data it used, and whether its outputs can be trusted. Auditors now require this evidence for regulatory compliance and risk management.
Investor Ready MVP Checklist: Security, Compliance, and Provenance Evidence
Investors want proof that your MVP is production-ready. This checklist covers the security, compliance, and provenance evidence that separates fundable products from science projects.