diff --git a/Document/content/2.1.2_Identify_RAI_threats.md b/Document/content/2.1.2_Identify_RAI_threats.md
index 05bf359..19f08f7 100644
--- a/Document/content/2.1.2_Identify_RAI_threats.md
+++ b/Document/content/2.1.2_Identify_RAI_threats.md
@@ -16,7 +16,7 @@ Before we review it, let's briefly revisit key Trustworthy AI concepts defined b
 Based on these concepts, we carefully revise your previous identification of threats:  
 
 <p align="center">
-  <img src="/Document/images/RT-Threats.png" alt="RAI Threat Model" width="1200"/>
+  <img src="/Document/images/TAI Threats SAIF Mapping.png" alt="RAI Threat Model" width="1200"/>
 </p>
 
 *Fig. 3 Responsible AI Threat modeling*
@@ -25,27 +25,27 @@ Based on these concepts, we carefully revise your previous identification of thr
 
 #### **🟦 AI Application (4 additions):**
 
-1. Hallucinations  
-2. Toxic Content Generation  
-3. Automation Bias  
-4. Lack of Explainability  
-5. Lack of Accountability in Agent/Plugin Actions
+1. Hallucinations (T01-HAL)
+2. Toxic Content Generation (T01-TCG)
+3. Automation Bias (T01-AB)
+4. Lack of Explainability (T01-LoE)
+5. Lack of Accountability in Agent/Plugin Actions (T01-LoA)
 
 #### **🟪 AI Model (3 additions):**
 
-6. Bias and Discrimination  
-7. Overfitting and Generalization  
-8. Misalignment with Human Intent
+6. Bias and Discrimination (T01-B&D)
+7. Overfitting and Generalization (T01-O&B)
+8. Misalignment with Human Intent (T01-MHI)
 
 #### **🟩 AI Infrastructure (2 additions):**
 
-9. Lack of Traceability & Auditability of Infrastructure Processes
+9. Lack of Traceability (T01-LoT) & Lack of Auditability (T01-LoA) of Infrastructure Processes
 
 #### **🟨 AI Data (3 additions):**
 
-10. Non-representative Training Data  
-11. Toxic or Harmful Training Data  
-12. Data Privacy Violations
+10. Non-representative Training Data (T01-NRTD)  
+11. Toxic or Harmful Training Data (T01-T&HD)
+12. Data Privacy Violations (T01-DPV)
 
 The following tables provide a structured overview, facilitating clear visibility for identifying, managing, and mitigating critical Responsible AI and Trustworthy AI (RT) threats across your entire AI system architecture.