Add period

Author: pedrosousa

src/content/docs/learning-paths/holistic-ai-security/concepts/index.mdx

@@ -13,5 +13,5 @@ The goal of this learning path is to provide Cloudflare One users with the strat
 - Determine risk tolerance: Identify areas of concern and risk tolerance for AI use to establish a baseline for your organization's AI security strategy.
 - Monitor AI usage: Utilize Cloudflare One's tools, such as the Shadow IT dashboard and API CASB integrations, to gain visibility into both sanctioned and unsanctioned AI application usage.
 - Build security policies: Create granular security policies using Cloudflare Gateway to control AI usage, prevent data loss with DLP, and manage user behavior through actions like blocking or redirecting.
-- Secure sanctioned models: Apply Zero Trust principles to sanctioned AI models and internal services like Model Context Protocol (MCP) servers to ensure secure access and protect sensitive data from being exposed
+- Secure sanctioned models: Apply Zero Trust principles to sanctioned AI models and internal services like Model Context Protocol (MCP) servers to ensure secure access and protect sensitive data from being exposed.