English(EN) We post-trained a model that pen tests instead of refusing your code https://www. argusred.com/cli # HackerNews # penTesting # AI # model # codeSecurity # machi

ArgusRed 训练 AI 进行代码渗透测试，而非拒绝

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-09 13:14

ArgusRed 开发了一个经过后训练的 AI 模型，能够对代码进行渗透测试，这与通常拒绝分析潜在漏洞代码的模型不同。该新模型旨在主动识别安全漏洞，而不是简单地拒绝可能存在风险的代码。该开发专注于通过自动化漏洞评估来增强代码安全性。 AI

影响该模型可以通过主动识别漏洞来增强自动化代码安全分析。

排序理由该集群描述了一个用于特定任务的后训练模型，属于研究范畴，而非前沿发布或商业产品发布。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — fosstodon.org 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群描述了一个用于特定任务的后训练模型，属于研究范畴，而非前沿发布或商业产品发布。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, product, safety; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 121 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-06-09 13:14

我们对一个模型进行了后训练，该模型进行渗透测试而不是拒绝你的代码 https://www.argusred.com/cli # HackerNews # penTesting # AI # model # codeSecurity # machi

We post-trained a model that pen tests instead of refusing your code https://www. argusred.com/cli # HackerNews # penTesting # AI # model # codeSecurity # machineLearning # ArgusRed

链接 argusred.com/cli

本文如何被排名

报道来源 [1]

我们对一个模型进行了后训练，该模型进行渗透测试而不是拒绝你的代码 https://www.argusred.com/cli # HackerNews # penTesting # AI # model # codeSecurity # machi

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