Overview A core risk within AI security threats lies in the reliability of AI models, manifested as distorted outputs, hallucinations, and the generation of misleading content. While these issues may seem like mere technical flaws, they have evolved into tangible harms in real-world information ecosystems. AI-generated misinformation can be presented...
Tag: LLM security
AI Infrastructure LiteLLM Supply Chain Poisoning Alert
Overview Recently, NSFOCUS Technology CERT detected that the GitHub community disclosed that there was a credential stealing program in the new version of LiteLLM. Analysis confirmed that it had suffered supply chain poisoning by the TeamPCP group on PyPI. It stole the publishing permission credentials by hacking into the security...
Insights into Claude Code Security: A New Pattern of Intelligent Attack and Defense
On February 20, 2026, AI company Anthropic released a new code security tool called Claude Code Security. This release coincided with the highly sensitive period of global capital markets to AI technology subverting the traditional software industry, which quickly triggered violent fluctuations in the capital market and caused the fall...
Analysis of the Attack Surface in the Agent Skills Architecture: Case Studies and Ecosystem Research
Background As LLMs and intelligent agents expand from dialogue to task execution, the encapsulation, reuse and orchestration of LLM capabilities have become key issues. As a capability abstraction mechanism, Skills encapsulates reasoning logic, tool calls and execution processes into reusable skill units, enabling the model to achieve stable, consistent and...
NSFOCUS Unveils Enhanced AI LLM Risk Threat Matrix for Holistic AI Security Governance
SANTA CLARA, Calif., Jan 29, 2026 – Security is a prerequisite for the application and development of LLM technology. Only by addressing security risks when integrating LLMs can businesses ensure healthy and sustainable growth. NSFOCUS first proposed the AI LLM Risk Threat Matrix in 2024. The Matrix addresses security from multiple...
The Escalating AI Security Threat in the Cloud: NSFOCUS Protection Recommendations
As AI applications fully embrace the cloud, emerging components and complex supply chains—while offering convenience—have also led to a sharp rise in risks from configuration flaws and vulnerability exploitation, making the AI security landscape in the cloud increasingly severe. In response to this trend, NSFOCUS conducted analysis of 48 typical...
