Six-Step Workflow for LLM Code Security Scanning
AI Engineer · youtube · 2026-07-18
This talk highlights that while LLMs can now discover and fix vulnerabilities in real codebases at scale, the true bottleneck has shifted from "finding bugs" to "verification, triage, and patching."
The video outlines a six-step workflow demonstrated on an example with a SQL injection:
- Threat model: Create a threat model first so the system understands the system context; this significantly improves the true positive rate for vulnerability identification.
- Sandbox: Reproduce and verify in an isolated environment.
- Discovery: The model focuses on high-recall discovery of suspicious code.
- Independent verification: A separate, adversarial verification agent confirms the exploit in a clean container.
- Triage: Direct limited engineering attention to the most critical issues.
- Patching: Apply fixes and prevent regressions.
The author notes several background facts: Mozilla's security fixes jumped from about 20 per month to 400 in April 2025, and Anthropic has scanned thousands of open-source repositories, finding and reporting numerous high-severity issues to maintainers. The conclusion is that scanning is no longer the hard part; integrating models into a reliable security remediation pipeline is the real key.
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