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What 50 open source projects taught us about security in the AI era

ResearchSecurityOpen Source InfrastructureAI & Machine Learning

First reported · 2mo ago · 1 source

Crest summary — written by AI from the 1 source below; every figure is checked against them · model deepseek-chat

Summary

GitHub published findings from 50 open source projects in Session 4 of its Secure Open Source Fund, describing how they used AI-assisted workflows, maintainer expertise, GitHub security tools, expert guidance and funding to improve security.

Key facts

  • GitHub Blog post dated 2026-08-13
  • Findings cover 50 open source projects
  • Projects were in Session 4 of the GitHub Secure Open Source Fund
  • Projects combined AI-assisted workflows, maintainer expertise, GitHub security tools, expert guidance and funding

Why it matters

The report gives builders and buyers a look at how funded open source projects pair AI-assisted workflows with security tooling and maintainer expertise, which may inform how they assess or adopt those projects.

Companies

Original sources (1)

The report this event was built from. Crest of Tech keeps no article bodies: the full text is at each source.

  1. GitHub BlogOfficial · Primary
    What 50 open source projects taught us about security in the AI era · By Gregg Cochran
    Read at GitHub Blog