Structure typo

Author: robvanderveer

content/ai_exchange/content/docs/ai_security_overview.md

@@ -14,7 +14,7 @@ While AI offers powerful perfomance boosts, it also increases the attack surface
 - **Limit the impact** of AI by minimizing privileges and adding oversight, e.g. guardrails, human oversight.
 - **Countermeasures in data science** through understanding of model attacks, e.g. data quality assurance, larger training sets, detecting common perturbation attacks, input filtering.
 
-## Overview of threats
+## Threats overview
 
 ### Threat model
 We distinguish three types of threats: during development-time (when data is obtained and prepared, and the model is trained/obtained), through using the model (providing input and reading the output), and by attacking the system during runtime (in production).
@@ -25,9 +25,9 @@ The diagram shows the threats in these three groups as arrows. Each threat has a
 The AI security matrix below shows all threats and risks, ordered by type and impact.
 [![](/images/OwaspAIsecuritymatix.png)](https://github.com/OWASP/www-project-ai-security-and-privacy-guide/blob/main/assets/images/OwaspAIsecuritymatix.png)
 
-## Overview of controls
+## Controls overview
 
-## Threat model with controls
+### Threat model with controls
 ![AI Security Threats and controls](/images/aisecthreatscontrols2.png)
 
 ### Navigator diagram