Building a Full-Lifecycle Defense System for Large Language Model Security
October 2, 2025
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, scenario-based protection, technical products, and […]
Dive into NSFOCUS LLM Security Solution
September 12, 2025
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 assessment system (AI-SCAN) plays a […]
Prompt Injection: An Analysis of Recent LLM Security Incidents
August 26, 2025
Overview With the widespread application of LLM technology, data leakage incidents caused by prompt word injections are increasing. Many emerging attack methods, such as inducing AI models to execute malicious instructions through prompt words, and even rendering sensitive information into pictures to evade traditional detection, are posing serious challenges to data security. At the same […]
NSFOCUS AI-Scan Typical Capabilities: Large Language Model Adversarial Defense Capability Assessment
July 16, 2025
Large language model (LLM) adversarial attacks refer to techniques that deceive LLMs through carefully-designed input samples (adversarial samples) to produce incorrect predictions or behaviors. In this regard, AI-Scan provides LLM adversarial defense capability assessment, allowing users to select an adversarial attack assessment template for one-click task assignment and generate an adversarial defense capability assessment report. […]
The Invisible Battlefield Behind LLM Security Crisis
March 10, 2025
Overview In recent years, with the wide application of open-source LLMs such as DeepSeek and Ollama, global enterprises are accelerating the private deployment of LLMs. This wave not only improves the efficiency of enterprises, but also increases the risk of data security leakage. According to NSFOCUS Xingyun Lab, from January to February 2025 alone, five […]
LLMs Are Posing a Threat to Content Security
March 4, 2025
With the wide application of large language models (LLM) in various fields, their potential risks and threats have gradually become prominent. “Content security” caused by inaccurate or misleading information is becoming a security concern that cannot be ignored. Unfairness and bias, adversarial attacks, malicious code generation, and exploitation of security vulnerabilities continue to raise risk […]
Build Your AI-Powered Penetration Testing Scheme with DeepSeek + Agent: An NSFOCUS Practice
February 20, 2025
Dilemma of Traditional Automated Penetration Testing Penetration testing has always been the core means of offensive and defensive confrontation for cybersecurity. However, traditional automatic penetration tools face three major bottlenecks: lack of in-depth understanding of business logic, insufficient ability to detect logical vulnerabilities, and weak ability to link vulnerabilities. Although the passive scanning engine can […]
Decoding the Double-Edged Sword: The Role of LLM in Cybersecurity
October 3, 2024
Large Language Models (LLMs) are essentially language models with a vast number of parameters that have undergone extensive training to understand and process human language. They have been trained on a wide array of texts, enabling them to assist in problem-solving across various domains. Security professionals are also exploring the potential of LLMs to aid […]
