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Making secret scanning more trustworthy: Reducing false positives at scale
Summary
Alerts are more trustworthy and actionable when noise is reduced. See how we improved the verification step with context-aware LLM reasoning. The post Making se
Why It Matters
Broadens access to advanced AI capabilities for developers and end-users.
Referenced Coverage & Sources
Making secret scanning more trustworthy: Reducing false positives at scale
GitHub Blog•Jun 11, 2026
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