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...
Tag: AI security
Build Your AI-Powered Penetration Testing Scheme with DeepSeek + Agent: An NSFOCUS Practice
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...
Insights from the DeepSeek Malicious Software Package Incident: Why Software Supply Chain Security Matters in Global AI Technology Competition
Background With the widespread application of AI technology, software supply chains are facing more complex and diverse security threats. Since January 2025, DeepSeek, as an emerging force in China's AI industry, has suffered from series of cyberattacks. According to the analysis by NSFOCUS Security Lab, most attacks are from IP...
