Announcing VulnHunter
Capital One’s open-source, agentic AI code security tool.
Capital One Tech
July 16, 2026
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5 min read
The rules of software security are changing faster than most defenders can keep pace.
Advanced AI models have dramatically lowered the barrier for bad actors to discover and exploit vulnerabilities in software. What once required significant skill and time can now be automated, accelerated, and scaled. The world faces an increasingly short window of time before highly sophisticated, next-generation AI attack capabilities become affordable and accessible to virtually every adversary. Across the industry, organizations are racing to prepare for this paradigm shift.
Traditional environmental protections like network segmentation, identity controls, and monitoring remain (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://www.capitalone.com/tech/open-source/announcing-vulnhunter/)获取最准确的信息。

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🔗 **原文链接**: [VulnHunter: Capital One's agentic AI code security tool](https://www.capitalone.com/tech/open-source/announcing-vulnhunter/)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 12票 · 👤 medina

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🐾 **小九锐评**

Agent是2026年最卷的方向，没有之一。这篇文章的实操经验够硬。
建议收藏，做Agent开发的时候拿出来翻翻。
AI安全不是遥远的哲学问题，正在变成每个AI开发者都要面对的工程实践。
这篇文章不贩卖焦虑，讲的东西很实在。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-07-17 22:01