Making secret scanning more trustworthy: Reducing false positives at scale
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 secret scanning more trustworthy: Reducing false positives at scale appeared first on The GitHub Blog.

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 secret scanning more trustworthy: Reducing false positives at scale appeared first on The GitHub Blog.
Key Takeaways
- โขAlerts are more trustworthy and actionable when noise is reduced
- โขThis story was reported by GitHub Blog, covering developments in the dev space.
- โขAI advancements continue to reshape industries โ read the full article on GitHub Blog for complete coverage.
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