Overview In August 2026, Oasis Security disclosed a high-severity vulnerability in NVIDIA's NemoClaw framework (CVE-2026-65105, CVSS 3.1 score 8.1). The vulnerability allows an attacker to fully take over a locally running Ollama model service and implant persistent hidden instructions into the AI model via a single malicious webpage and without...
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NSFOCUS Monthly APT Insights – June 2026
Regional APT Threat Situation In June 2026, the global threat hunting system of Fuying Lab detected a total of 28 APT attack activities. These activities were primarily concentrated in regions including East Asia, South Asia, Eastern Europe, South America, and Central Asia as shown in the figure below. Regarding the...
95.02% Success Rate! NSFOCUS AI Tops the CyberGym Global Leaderboard
In the CyberGym Level 1 global leaderboard, an authoritative benchmark for cybersecurity large models, NSFOCUS AI, NSFOCUS’s self-developed intelligent security agent captured the top global ranking in this round with a 95.02% vulnerability-reproduction success rate. Built on Zhipu’s GLM-5.3 large language model, NSFOCUS AI distills NSFOCUS’s accumulated offensive-and-defensive expertise into...
Global Recognition: NSFOCUS Listed in Gartner® Market Guide for Cloud Web Application and API Protection for Three Consecutive Years
SANTA CLARA, Calif., August 28, 2026 – Gartner®, a global business and technology insight firm, recently published the Market Guide for Cloud Web Application and API Protection, in which NSFOCUS has been listed for the third consecutive year through its Web Application Firewall (NSFOCUS WAF). For NSFOCUS, this repeated inclusion reflects...
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,...
