NSFOCUS Recognized in Gartner® Emerging Market Quadrant for AI Application Security

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...

Coming Soon: AI-Scan OpenClaw Ecosystem Security Scanning Capabilities

As the OpenClaw ecosystem continues to surge in popularity, more customers are deploying and utilizing these AI agents on a large scale. However, this growth has brought significant security challenges to the forefront, including over 33 documented CVE vulnerabilities, 288+ GHSA security advisories, the rise in malicious Skills, and frequent...

NSFOCUS AI-Scan Gains Recognition from Authoritative Institution

SANTA CLARA, Calif., Jan 22, 2026 – Recently, International Data Corporation (IDC) released the report "China Large Language Model (LLM) Security Assessment Platform Vendor Technology Evaluation" (Doc#CHC53839325, October 2025). NSFOCUS was selected for this report based on its proven product performance and LLM security assessment methodology. With a comprehensive capability matrix...

Building a Full-Lifecycle Defense System for Large Language Model Security

Santa Clara, Calif. Oct 2, 2025 – Recently, NSFOCUS held the AI New Product Launch in Beijing, comprehensively showcasing the company's latest technological achievements and practical experience in AI security. With large language model security protection as the core topic, the launch systematically introduced NSFOCUS's concept and practices in strategy planning,...

Dive into NSFOCUS LLM Security Solution

Overview NSFOCUS LLM security solution consists of two products and services: the LLM security assessment system (AI-SCAN) and the AI unified threat management (AI-UTM), forming a security assessment and protection system covering the entire life cycle of LLM. In the model training and fine-tuning stage, the large language model security...

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