Teaching AI to Reason Through Detection Triage
Teaching AI to Reason Through Detection Triage
今日共收录 1362 条安全情报,包含 399 个 CVE,552 篇安全通告,以及 120 篇研究论文。
← 返回归档列表Teaching AI to Reason Through Detection Triage
CrowdStrike Falcon Guardian Defines the Next Generation of AI SecuritySep 01, 2026
Peer Pressure: Inside the Sality Botnet Disruption Operation
Microsoft Threat Intelligence observed a human-operated intrusion campaign that abuses Microsoft Teams external collabor
CrowdStrike Delivers the Next Evolution of the Agentic SOC
An SQL injection vulnerability in the All-in-One WP Migration and Backup plugin for WordPress could allow unauthenticate
Invisible Unicode characters popularized for hiding instructions from AI models are now being used to obfuscate words be
Explore how attackers targeting Latin American entities use AI for data exfiltration and how basic OpSec errors allow de
France's data protection authority (CNIL) has fined Hôpital privé de la Loire €500,000 ($580,000) for failing to adequat
Hewlett Packard Enterprise (HPE) has patched a critical vulnerability in the ArubaOS-CX network operating system that co
Microsoft says a known issue that reverts mouse settings after installing the KB5120998 August 2026 preview update affec
ChatGPT and Codex are experiencing a major outage, with users reporting errors across nearly every major ChatGPT feature
Claude is experiencing an outage, with users encountering elevated errors when sending requests to multiple Anthropic AI
Infostealers can expose far more than passwords, including authenticated sessions that may let attackers bypass MFA. Fla
Microsoft has confirmed that desktop settings are lost or reset on some Windows devices after installing the KB5120998 A
Plex urged users this week to update their desktop clients and media servers immediately to patch multiple security vuln
Microsoft is working to fix a known issue that causes crashes and launch failures for Microsoft Teams and New Outlook us
An RMM phishing campaign initially associated with Canadian targeting due to its use of Canada Revenue Agency (CRA) tax
安全运营中心(SOC)在日常工作中面临大量告警,其中许多是误报,导致分析师在有限资源下难以有效发现真实攻击,即所谓的“告警疲劳”问题。风险基告警(Risk-Based Alerting, RBA)被提出作为一种减少误报的手段,并在若干企业部
该论文讨论了大语言模型(LLM)在安全视角下的一类根本性挑战:模型的语言表达能力与其内部实际计算过程可能并不一致。作者引入“语言不可读性”(Linguistic Illegibility)这一术语,泛指 LLM 的外部语言输出或通过机械解释