Os LLMs estão por trás de boa parte das ferramentas de inteligência artificial que escrevem textos, resumem documentos, respondem perguntas, analisam informações e auxiliam profissionais em tarefas criativas ou técnicas. Ao longo do artigo abaixo, você entenderá o que é LLM, como esses modelos são treinados, de que maneira produzem...
Autor: NSFOCUS
NSFOCUS Named to the 2026 IDC China AI Top 50
On August 18, the "2026 IDC China Artificial Intelligence and Data Summit," hosted by IDC, was grandly held in Beijing, bringing together numerous industry elites and technology leaders. With its solid technical foundation and mature, proven industry solutions in AI security, NSFOCUS was named to the "2026 IDC China AI...
AI Security Incident Case: Encrypted Reasoning Blocks of Proprietary LLMs Can Be Stolen via Cross-Model Replay
Overview On August 10, 2026, MATS Research, the ELLIS Institute Tübingen, the Max Planck Institute for Intelligent Systems, and other institutions jointly published the paper Stealing Reasoning Traces from Proprietary LLM APIs. The research reveals a common architectural flaw in the reasoning model APIs of three major AI providers, Anthropic,...
Microsoft’s August Security Update of High-Risk Vulnerability Notice for Multiple Products
Overview On August 12, NSFOCUS CERT monitored that Microsoft released its August security update patch, fixing 421 security issues. These affect widely used products such as Windows, Microsoft Office, Azure, Visual Studio Code, Microsoft Exchange Server, etc., which include high-risk vulnerability types such as privilege escalation and remote code execution....
NSFOCUS AI CyberGym Level 1 Technical Report
Abstract NSFOCUS has now completed a second CyberGym Level 1 evaluation of NSFOCUS AI, this time using GLM-5.3 inference. The new run solved 1,432 of 1,507 tasks, achieving a strict Pass@1 of 95.02% and extending the earlier GLM-5.2 evaluation reported below. In the earlier GLM-5.2 evaluation, NSFOCUS's self-developed intelligent offensive-and-defensive...
NSFOCUS Monthly APT Insights – April 2026
Regional APT Threat Situation In April 2026, the global threat hunting system of Fuying Lab detected a total of 29 APT attack activities. These activities were primarily concentrated in regions including East Asia, South Asia, Eastern Europe, North America, and the Middle East, as shown in the figure below. Regarding...
