How AI-leading Security Teams Are Building the Agentic SOC
How AI-leading Security Teams Are Building the Agentic SOC
今日共收录 1422 条安全情报,包含 546 个 CVE,469 篇安全通告,以及 113 篇研究论文。
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Falcon Secure Access Sets the Standard for Zero Trust Browser Security
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Authorities in Germany and the U.S. dismantled the central infrastructure of Kratos, a phishing-as-a-service (PhaaS) pla
A large-scale operation dubbed 'FakeGit' is pushing SmartLoader and StealC malware through 7,600 malicious GitHub reposi
The Anubis ransomware gang has claimed responsibility for the cyberattack on Coca-Cola's Fairlife dairy subsidiary, thre
New executive order calls for end-to-end visibility into defense supply chains, including software dependencies, foreign
Our collaboration with AXA XL brings Microsoft Incident Response services directly to cyber insurance policyholders, hel
The Upbound Group fintech company disclosed that threat actors who stole data from its systems leveraged it to create $1
South Korea disclosed that hackers breached the National Diplomatic Academy's online education system for ten months and
The Adobe Acrobat extension for Chrome could be used to access conversations and data rendered in WhatsApp Web without a
The Cybersecurity and Infrastructure Security Agency (CISA) on Tuesday ordered U.S. government agencies to prioritize pa
American fast food restaurant chain Chick-fil-A is notifying customers of a data breach after their accounts were hacked
OpenAI says its AI models, including GPT‑5.6 Sol and a pre-release model, hacked into the Hugging Face artificial intell
Using AI, the startup provides adaptive prevention through environment mapping, risk analysis, and automated policy enfo
The Anubis ransomware group claims to have stolen 1 TB of confidential data from the Coca-Cola subsidiary. The post Rans
本文针对大语言模型(LLM)的越狱攻击评估问题,提出了一种以防御者为中心的新视角。传统评估以攻击者成功率为指标,但高成功率的攻击未必能有效提升模型安全。作者主张将越狱攻击视为安全训练的红队数据资源,通过其能带来的下游安全改进来评估其价值。为
该论文对大型语言模型(LLM)在隐私政策分析领域替代传统专用工具的能力进行了首次系统性评估。研究背景是LLM的兴起使得以往需要专门领域工具的隐私政策与数据合规分析任务变得可能,但尚不清楚LLM能否真正复制现有工具的多样化功能和方法。核心研究