Insights & Analysis

Software Composition Analysis for AI-Generated Code: Challenges, Lessons, and Best Practices

AI coding assistants accelerate dependency decisions as well as code. Learn how to combine software composition analysis, SBOMs, provenance checks, contextual triage, and human review to manage the resulting supply-chain risk.

The Hidden Risk in AI-Generated Code: Why Static Analysis is Your First Line of Defense

AI coding assistants are changing how software gets built — but the code they generate carries hidden security risks. Learn how static analysis tools like Semgrep, CodeQL, and Snyk Code help teams catch vulnerabilities before they reach production.

Building Secure Government and Compliance Software in the Age of AI