diff --git a/README.md b/README.md
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 **The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.**
 
-CyberStrikeAI connects planning, execution, human oversight, evidence, and replay in one auditable workspace. Built in Go, it combines Eino-powered agents, MCP-native tools, RAG knowledge, graph workflows, and attack-chain intelligence for authorized security operations.
+CyberStrikeAI connects planning, execution, human oversight, evidence, and replay in one auditable workspace. Built in Go, it combines Eino-powered agents, MCP-native tools, RAG knowledge, graph workflows, and attack-chain modeling and analysis for authorized security operations.
 
 **Start here:** [Quick start](#quick-start-one-command-deployment) · [Documentation](docs/en-US/README.md) · [Security hardening](docs/en-US/security-hardening.md)
 
@@ -402,4 +402,3 @@ For vulnerability reporting and deployment hardening guidance, see [SECURITY.md]
 ---
 
 Need help or want to contribute? Open an issue or PR—community tooling additions are welcome!
-
diff --git a/README_CN.md b/README_CN.md
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 **CyberStrikeAI 是 AI 原生网络安全的智能执行中枢——让意图转化为受治理的行动，让证据沉淀为运营记忆，并让每次行动优化下一次行动。**
 
-CyberStrikeAI 将规划、执行、人工监督、证据与复盘连接在同一个可审计工作空间中。项目基于 Go 构建，融合 Eino 智能体、MCP 原生工具、RAG 知识、图工作流与攻击链智能，面向已获得明确授权的安全任务。
+CyberStrikeAI 将规划、执行、人工监督、证据与复盘连接在同一个可审计工作空间中。项目基于 Go 构建，融合 Eino 智能体、MCP 原生工具、RAG 知识、图工作流以及攻击链建模与分析能力，面向已获得明确授权的安全任务。
 
 **从这里开始：** [快速上手](#快速上手一条命令部署) · [中文文档](docs/zh-CN/README.md) · [安全加固](docs/zh-CN/security-hardening.md)