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LLM security reviews caught serious vulnerabilities two human reviewers had missed

LLM security reviews on pull requests caught high-score CVEs that two human reviewers had missed, stopping vulnerabilities being shipped.

How it works

  1. LLM security reviews run on pull requests
  2. Catch high-score vulnerabilities
  3. Two human reviewers had missed them
  4. The flaws are stopped from shipping

Why it’s worth knowing

The model read the diff like an attacker, not like a colleague.

Where it’s from

Summarized from a public post on news.ycombinator.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be
2The prompt, with the steps
3The check when it’s done
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