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进行检测。\u003C\u002Fp>\n\u003Ch2 id=\"主要功能\">主要功能\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Sigma 解析\u003C\u002Fstrong>：将 Sigma YAML 解析为强类型 AST，支持检测、关联和过滤规则\u003C\u002Fli>\n\u003Cli>\u003Cstrong>数组匹配（实验性）\u003C\u002Fstrong>：支持嵌套事件数据中数组成员的匹配，具有 any\u002Fall 成员语义、同元素关联和位置索引\u003C\u002Fli>\n\u003Cli>\u003Cstrong>规则起草\u003C\u002Fstrong>：从示例事件与基线语料库对比中起草检测规则\u003C\u002Fli>\n\u003Cli>\u003Cstrong>规则调优\u003C\u002Fstrong>：从误报事件中提出规范原生过滤器，验证所有已知真阳性仍触发\u003C\u002Fli>\n\u003Cli>\u003Cstrong>内置 Linter\u003C\u002Fstrong>：使用 85 项检查、四个严重级别、抑制、自定义标签命名空间和 14 条安全规则的自动修复来验证规则\u003C\u002Fli>\n\u003Cli>\u003Cstrong>ADS 元数据\u003C\u002Fstrong>：使用 Palantir ADS 部分记录规则，由 linter 强制执行\u003C\u002Fli>\n\u003Cli>\u003Cstrong>LSP 服务器\u003C\u002Fstrong>：提供实时诊断、补全、悬停文档、文档符号和快速修复代码操作\u003C\u002Fli>\n\u003Cli>\u003Cstrong>pySigma 兼容处理管道\u003C\u002Fstrong>：处理字段映射和后端配置\u003C\u002Fli>\n\u003Cli>\u003Cstrong>STIX 和 TAXII 支持\u003C\u002Fstrong>：用于威胁情报集成\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"适用人群\">适用人群\u003C\u002Fh2>\u003Cul>\n\u003Cli>安全工程师和检测工程师\u003C\u002Fli>\n\u003Cli>SIEM 开发者和运维人员\u003C\u002Fli>\n\u003Cli>需要 Sigma 规则管理的团队\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"快速上手\">快速上手\u003C\u002Fh2>\u003Col>\n\u003Cli>从 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ftimescale\u002Frsigma\u002Freleases\u002Flatest\" target=\"_blank\" rel=\"noopener noreferrer\">GitHub Releases\u003C\u002Fa> 下载 Linux、macOS 或 Windows（amd64 和 arm64）的预编译二进制文件\u003C\u002Fli>\n\u003Cli>或从 crates.io 安装 CLI：\u003Ccode>cargo install --locked rsigma\u003C\u002Fcode>\u003C\u002Fli>\n\u003Cli>安装 LSP 服务器：\u003Ccode>cargo install --locked rsigma-lsp\u003C\u002Fcode>\u003C\u002Fli>\n\u003Cli>使用 Docker 多架构镜像（linux\u002Famd64、linux\u002Farm64）\u003C\u002Fli>\n\u003Cli>使用 \u003Ccode>rsigma backend convert rules\u002F -t splunk\u003C\u002Fcode> 转换规则\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"核心优势\">核心优势\u003C\u002Fh2>\u003Cul>\n\u003Cli>完整的 Sigma 工具链，包含解析、评估、转换和运行时\u003C\u002Fli>\n\u003Cli>支持 OTLP 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