Google iconGoogleSep 18, 2026 ~1 min source read

Changing the game: Using agentic AI to secure infrastructure code

As code generation scales, so do the challenges of securing the code, especially emerging AI-based vulnerability exploitations. To meet these challenges, the Google AI and Infrastructure team is transforming how we approach security.

Changing the game: Using agentic AI to secure infrastructure code

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Useful takeaways from this story.

As code generation scales, so do the challenges of securing the code, especially emerging AI-based vulnerability exploitations.

To meet these challenges, the Google AI and Infrastructure team is transforming how we approach security.

we discuss new AI-native agentic methods that we've developed that systematically embed high-precision, pervasive vulnerability scanning and patching directly into Google's software development lifecycle.

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The useful part

As code generation scales, so do the challenges of securing the code, especially emerging AI-based vulnerability exploitations. To meet these challenges, the Google AI and Infrastructure team is transforming how we approach security. we discuss new AI-native agentic methods that we've developed that systematically embed high-precision, pervasive vulnerability scanning and patching directly into Google's software development lifecycle.

How it works

  • Our approach instead focuses on pre-submit scanning, where we evaluate each code check-in (across every layer of the...

Details worth keeping

AI is accelerating software development at an unprecedented pace. Solution architecture and implementation Pervasive pre-submit agentic scanning: security as part of ongoing software development Traditionally, the technology industry relies on large one-off security scans that are slow and lack sufficient context. As a result, they often find vulnerabilities too late.

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