diff --git a/DATA/Investigation_Agent/Investigation_System.md b/DATA/Investigation_Agent/Investigation_System.md
index 7e6135c..029b5b6 100644
--- a/DATA/Investigation_Agent/Investigation_System.md
+++ b/DATA/Investigation_Agent/Investigation_System.md
@@ -1,4 +1,4 @@
-你是一名资深 SOC / DFIR 事件调查分析师。你的任务是阅读输入的 Case 全量结构化数据，产出一份严格符合 `IncidentReport` Schema
+你是一名资深 SOC / DFIR 事件调查分析师。你的任务是阅读输入的 Case 全量结构化数据，产出一份严格符合 `InvestigationReport` Schema
 的调查报告。
 
 你的目标不是简单复述字段，而是做基于证据的案件研判：判断这是否是真实安全事件、攻击者做了什么、做到哪一步、影响多大、应如何响应。
@@ -112,6 +112,6 @@ SOP-5 形成处置建议
 
 最终要求：
 
-- 输出必须完全符合 `IncidentReport` 结构。
+- 输出必须完全符合 `InvestigationReport` 结构。
 - 如果某些信息缺失，也要给出最合理、最克制的结论，不得留空。
 - 在信息不足时，优先降低置信度并明确不确定性，而不是编造细节。
diff --git a/PLAYBOOKS/CASE/Investigation_Agent.py b/PLAYBOOKS/CASE/Investigation_Agent.py
index 504c76d..989fe41 100644
--- a/PLAYBOOKS/CASE/Investigation_Agent.py
+++ b/PLAYBOOKS/CASE/Investigation_Agent.py
@@ -49,7 +49,7 @@ class RemediationRecommendation(BaseModel):
     priority: CasePriority = Field(description="该处置动作自身的执行优先级。")
 
 
-class IncidentReport(BaseModel):
+class InvestigationReport(BaseModel):
     model_config = ConfigDict(use_enum_values=False)
 
     severity: Severity = Field(description="AI 评估的事件严重程度，必须结合攻击链深度、权限水平、受影响范围和业务风险判断。")
@@ -92,8 +92,8 @@ class Playbook(BasePlaybook):
             system_message,
             HumanMessage(content=content)
         ]
-        llm = llm.with_structured_output(IncidentReport)
-        response: IncidentReport = llm.invoke(messages)
+        llm = llm.with_structured_output(InvestigationReport)
+        response: InvestigationReport = llm.invoke(messages)
 
         report_payload = response.model_dump(mode="json")
         comment_payload = {
@@ -108,7 +108,7 @@ class Playbook(BasePlaybook):
             impact_ai=response.impact,
             priority_ai=response.priority,
             confidence_ai=response.confidence,
-            comment_ai=json.dumps(comment_payload, ensure_ascii=False, indent=2),
+            investigation_report_ai=json.dumps(comment_payload, ensure_ascii=False, indent=2),
         )
         Case.update(case_new)
         print(report_payload)
diff --git a/PLUGINS/SIRP/sirpcoremodel.py b/PLUGINS/SIRP/sirpcoremodel.py
index 3fdb16b..f4de9c7 100644
--- a/PLUGINS/SIRP/sirpcoremodel.py
+++ b/PLUGINS/SIRP/sirpcoremodel.py
@@ -404,8 +404,8 @@ class AlertModel(BaseSystemModel):
 
 class CaseModel(BaseSystemModel):
     """安全案件,多个告警聚合而成,安全人员与AI分析处理的核心对象"""
-    _AI_EXCLUDE_FIELDS: ClassVar[set[str]] = {"workbook", "summary_ai", "comment_ai", "attack_stage_ai", "severity_ai", "confidence_ai", "impact_ai",
-                                              "priority_ai", "verdict_ai"}
+    _AI_EXCLUDE_FIELDS: ClassVar[set[str]] = {"workbook", "summary_ai", "investigation_report_ai", "severity_ai", "confidence_ai", "impact_ai", "priority_ai",
+                                              "verdict_ai"}
     # 系统自动生成字段
     id: Optional[str] = Field(default=None, init=False, description="Record ID e.g. case_000001 (记录 ID e.g. case_000001,系统自动生成,无需手动赋值)")
 
@@ -454,7 +454,7 @@ class CaseModel(BaseSystemModel):
     confidence_ai: Optional[Confidence] = Field(default=None, description="AI-assessed confidence (AI 评估置信度)")
     impact_ai: Optional[Impact] = Field(default=None, description="AI-assessed impact (AI 评估影响)")
     priority_ai: Optional[CasePriority] = Field(default=None, description="AI-assessed response priority (AI 评估响应优先级)")
-    comment_ai: Optional[str] = Field(default="", description="AI-generated comment (AI 生成的注释)")
+    investigation_report_ai: Optional[str] = Field(default="", description="AI-generated investigation report (AI 生成的调查报告)")
 
     verdict_ai: Optional[CaseVerdict] = Field(default=None, description="AI-generated final verdict (AI 生成的最终判定结果)")
     summary_ai: Optional[str] = Field(default="", description="AI-generated closure summary (AI 生成的结案摘要)")