As Artificial Intelligence technology rapidly advances, Large Language Models (LLMs) are being widely adopted across countless domains. However, with this growth comes a critical challenge: LLM security issues are becoming increasingly prominent, posing a major constraint on further development. Governments and regulatory bodies are responding with policies and regulations to...
Tag: LLM security
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...
Prompt Injection: An Analysis of Recent LLM Security Incidents
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...
The Invisible Battlefield Behind LLM Security Crisis
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...
LLMs Are Posing a Threat to Content Security
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...
