AEGIS是一个AI安全平台，设计用于防护AI系统面临的多种攻击威胁1。该平台覆盖七类关键攻击向量，包括提示词注入、Agent劫持、MCP攻击、RAG中毒、供应链攻击、模型提取和向量数据库泄露1。平台采用默认拒绝策略，对AI Agent的所有工具调用进行全面检查1。在性能方面，提示词注入检测时间低于7毫秒，置信度达到0.981。
AEGIS支持多种部署方式以适应不同环境需求，包括托管云、Docker Compose和Kubernetes隔离环境三种选项1。快速部署是其主要优势之一，用户可在5分钟内完成部署1。在定价策略上，平台提供分层服务模式，付费版本起价为每年5000美元，同时为用户提供包含每月1000次请求额度的免费层1。该平台已被选为NHS ID卡系统的安全合作伙伴1。
AEGIS, an artificial intelligence security platform, has been developed to protect against seven categories of critical attack vectors threatening AI systems.1 The platform addresses prompt injection, agent hijacking, MCP attacks, RAG poisoning, supply chain vulnerabilities, model extraction, and vector database leakage.1 Prompt injection detection operates in under seven milliseconds with a confidence level of 0.98.1
The platform implements a default-deny policy that inspects all tool calls made by AI agents, enabling comprehensive defense across AI infrastructure.1 AEGIS supports three deployment modes—managed cloud, Docker Compose, and isolated Kubernetes environments—to accommodate various organizational requirements.1 Deployment can be completed in approximately five minutes.1 Pricing begins at $5,000 annually, with a free tier offering 1,000 requests per month.1
AEGIS has been selected as a security partner for the NHS ID card system, an initiative projected to generate annual revenue between £572 million and £850 million while delivering healthcare efficiency savings of £1.19 billion to £2.56 billion.1
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