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Google AI

Our latest investment in open source security for the AI era

Read the full articleOur latest investment in open source security for the AI era on Google AI
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What Happened

Google is making new investments, building new tools and developing code security to improve open source security.

Our Take

Google announced new investment in open source security tooling, including contributions to OSV.dev and expanded fuzzing coverage. The focus is explicitly on AI-era attack surfaces — model weights, training pipelines, and dependency chains used in ML frameworks.

Teams running LangChain or LlamaIndex RAG pipelines routinely pull 40+ transitive dependencies without a single security scan. OSV-Scanner is free and integrates in CI. Most teams treat supply chain risk as 'someone else's problem' until a compromised package silently poisons a vector store.

If you're deploying any OSS model stack to production, run OSV-Scanner against your lockfile today. Teams using fully managed APIs like OpenAI or Gemini can skip this.

What To Do

Run OSV-Scanner on your ML dependency lockfile instead of manual audits because AI pipelines pull 40+ transitive packages that nobody reviews.

Builder's Brief

Who

ML engineers managing open source model and package dependencies

What changes

New tooling may add automated scanning steps to model and dependency ingestion pipelines

When

months

Watch for

Whether major model registries adopt the tooling as a gate before publication

What Skeptics Say

Google's open source security announcements generate press cycles but rarely change actual vulnerability surfaces; AI/ML supply chain attacks via malicious model weights and poisoned datasets remain largely unaddressed by perimeter-focused tooling.

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