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: 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.
AI Vendor Due Diligence Checklist for 2026 Procurement Teams
Enterprise checklist for AI vendor evaluation: compliance artifacts, provenance evidence, security controls, and audit-ready documentation for 2026.
Model Card Best Practices for SOC 2 Mapped AI Vendors
Learn how to build model cards that satisfy SOC 2 audits and EU AI Act requirements with technical, evidence-driven documentation.
AI Bill of Materials: The 7 Fields Auditors Will Look For First
Ensure compliance with the EU AI Act and SOC 2 by implementing these 7 essential AI Bill of Materials fields for model provenance and security.