diff --git a/Document/content/2.1.1_Architectural_Mapping_of_OWASP_Threats.md b/Document/content/2.1.1_Architectural_Mapping_of_OWASP_Threats.md
index 25a5d9e..5fc40ca 100644
--- a/Document/content/2.1.1_Architectural_Mapping_of_OWASP_Threats.md
+++ b/Document/content/2.1.1_Architectural_Mapping_of_OWASP_Threats.md
@@ -8,7 +8,7 @@ By examining the AI architecture across its four core layers, data, infrastructu
   <img src="/Document/images/SAIF_Threat_Model_Diagram.png" alt="AI Architecture Threat Model" width="1200"/>
 </p>
 
-**Fig. 2 Threat Model of OWASP Threats (LLM T10 and AI Exchange) Mapped to Impacted AI Components of a SAIF baseline architecture**
+*Fig. 2 Threat Model of OWASP Threats (LLM T10 and AI Exchange) mapped to impacted AI components of a SAIF baseline architecture*
 
 We use a structured process for identifying potential threats to an AI system by analyzing its architecture and operational context. In this approach, we reference threat categories defined by OWASP, specifically the *OWASP Top 10 for LLM* and *OWASP AI Exchange* to identify risks such as prompt injection, data poisoning, and model evasion. For each identified threat, we outline a representative threat scenario to highlight which system components are impacted. This mapping helps derive targeted test cases aimed at uncovering exploitable vulnerabilities and weaknesses.