diff --git a/Document/content/2.1.2_Identify_RAI_threats.md b/Document/content/2.1.2_Identify_RAI_threats.md
index 3d98b94..6ab9640 100644
--- a/Document/content/2.1.2_Identify_RAI_threats.md
+++ b/Document/content/2.1.2_Identify_RAI_threats.md
@@ -92,62 +92,62 @@ For broader security assurance across networks, infrastructure, and traditional
 
 * Scope: Front-end UX, APIs, agents/plugins, user-AI interactions  
 * Threats:  
-  * Prompt injection (LLM01)  
-  * Output handling (LLM05)  
-  * Excessive agency (LLM06)  
-  * Misinformation (LLM09)  
-  * Automation bias  
-  * Hallucinations  
-  * Toxic content  
-  * Explainability gaps  
+  - Prompt injection (LLM01)  
+  - Output handling (LLM05)  
+  - Excessive agency (LLM06)  
+  - Misinformation (LLM09)  
+  - Automation bias  
+  - Hallucinations  
+  - Toxic content  
+  - Explainability gaps  
 * Testing Focus:  
-  * Behavior consistency  
-  * Ethical content validation  
-  * User interface abuse (e.g., phishing via AI)  
-  * Interpretability & transparency evaluation
+  - Behavior consistency  
+  - Ethical content validation  
+  - User interface abuse (e.g., phishing via AI)  
+  - Interpretability & transparency evaluation
 
 ### **2\. AI Model Testing**
 
 * Scope: Model training, fine-tuning, inference behavior  
 * Threats:  
-  * Model & data poisoning (LLM04)  
-  * Inversion/inference attacks  
-  * Bias/discrimination  
-  * Model exfiltration  
-  * Overfitting / generalization issues  
-  * Explainability & fairness gaps  
+  - Model & data poisoning (LLM04)  
+  - Inversion/inference attacks  
+  - Bias/discrimination  
+  - Model exfiltration  
+  - Overfitting / generalization issues  
+  - Explainability & fairness gaps  
 * Testing Focus:  
-  * Adversarial robustness  
-  * Fairness auditing  
-  * Membership inference testing  
-  * Alignment and behavior under edge cases
+  - Adversarial robustness  
+  - Fairness auditing  
+  - Membership inference testing  
+  - Alignment and behavior under edge cases
 
 ### **3\. AI Infrastructure Testing**
 
 * Scope: Hosting, serving, orchestration, APIs, plugin permissions  
 * Threats:  
-  * System prompt leakage (LLM07)  
-  * Resource abuse (LLM10)  
-  * Supply chain poisoning (LLM03)  
-  * Unauthorized API control  
-  * Insecure agent capabilities  
+  - System prompt leakage (LLM07)  
+  - Resource abuse (LLM10)  
+  - Supply chain poisoning (LLM03)  
+  - Unauthorized API control  
+  - Insecure agent capabilities  
 * Testing Focus:  
-  * Least privilege enforcement  
-  * Resource sandboxing  
-  * Plugin/agent boundary testing  
-  * Environment security (CI/CD, containers)
+  - Least privilege enforcement  
+  - Resource sandboxing  
+  - Plugin/agent boundary testing  
+  - Environment security (CI/CD, containers)
 
 ### **4\. AI Data Testing**
 
 * Scope: Data collection, curation, storage, labeling, filtering  
 * Threats:  
-  ** Data poisoning (LLM04)  
-  ** Training data leaks  
-  ** Toxic/unrepresentative data  
-  ** Bias introduced during preprocessing  
-  ** Mislabeling or filtering inconsistencies  
+  - Data poisoning (LLM04)  
+  - Training data leaks  
+  - Toxic/unrepresentative data  
+  - Bias introduced during preprocessing  
+  - Mislabeling or filtering inconsistencies  
 * Testing Focus:  
-  * Dataset integrity & labeling accuracy  
-  * Bias and diversity analysis  
-  * Data provenance validation  
-  * Filtering robustness (toxicity, duplication)
+  - Dataset integrity & labeling accuracy  
+  - Bias and diversity analysis  
+  - Data provenance validation  
+  - Filtering robustness (toxicity, duplication)