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 […]
