AI Agent

OpenGuardrails是首个完整开源的企业级大模型安全护栏平台，支持119种语言、统一LLM架构、可配置敏感度策略、多云部署。本报告深度解析其核心技术创新、应用场景、部署模式、性能对标与未来发展，为金融、医疗、法律等受管制行业的AI应用提供安全合规指引。通过分析OpenGuardrails的可配置策略、高效模型设计与生产级基础设施，揭示下一代AI安全护栏的发展方向。

Chief Security Officers (CSOs) are facing an unprecedented challenge: AI systems are both amplifying existing data risks and introducing entirely new threats such as data poisoning, model reverse engineering, and supply chain contamination. This guide builds on the NIST AI Risk Management Framework (AI RMF), the Google Secure AI Framework (SAIF), and industry practices to provide CSOs with an actionable data security governance system.

PromptPwnd is a new type of vulnerability discovered by the Aikido Security research team that poses a serious threat to GitHub Actions and GitLab CI/CD pipelines that integrate AI agents. The vulnerability utilizes Prompt Injection to cause key compromise, workflow manipulation, and supply chain compromise by injecting malicious commands into an AI model, causing it to perform high-privilege operations. At least five Fortune 500 companies have been affected, and several high-profile projects such as the Google Gemini CLI have been verified to have the vulnerability.

Strix represents a paradigm shift in the field of cybersecurity testing - an evolution from a manual-centric penetration approach to a multi-agent collaborative automation model. The tool realizes complete vulnerability lifecycle management (reconnaissance, exploitation, validation) through LLM-driven autonomous intelligences, demonstrating significant cost advantages (cost reduction of 70% or more) and time efficiency advantages (test cycle shortened from weeks to hours) over traditional manual penetration and passive scanning tools. However, its limitations are equally obvious: the success rate of zero-day vulnerability exploitation is only 10-12%, the detection capability of business logic vulnerability is seriously insufficient, and the inherent security risks of multi-agent systems (hint injection, inter-agent trust abuse) require a structured governance framework.

As AI evolves from mere "Chatbots" to "Agentic AI" with autonomous planning, decision-making and execution capabilities, the attack surface of applications has fundamentally changed. In contrast to traditional LLM ...