SANTA CLARA, Calif., Septempber 22, 2026 – Recently, global business and technology insights company Gartner® released its "Emerging Market Quadrant for AI Application Security — Established Vendors" report. NSFOCUS, recognized for its capabilities in the field of AI application security, was selected into the "Specialists" quadrant. In its report "Forecasting the...
Tag: AI security
AI Security Incident Case: Trusted AI Platforms Become a New Channel for Malware Distribution
Overview On September 11, 2026, the Huntress SOC released a set of cases tracked over a nine-month period. The conclusion ran counter to their own expectations: what is currently being exploited more frequently in the AI domain is not the models or the AI companies themselves, but rather the everyday...
AI Security Incident Case: Amazon Kiro Prompt Injection Vulnerability Analysis
Overview On August 27, 2026, cybersecurity research firm Mindgard publicly disclosed a prompt injection vulnerability in Amazon Kiro IDE. Kiro is an AI-driven development environment launched by Amazon, equipped with an agent capable of reading/writing repository files, invoking native tools, and triggering IDE features. Discovered and reported on December 11,...
AI Security Incident Case: NVIDIA’s NemoClaw Chat Template Poisoning Vulnerability
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...
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,...
