Cloudflare Unveils AI Security Posture Management to Tackle Shadow AI and Protect Sensitive Data

Cloudflare’s AI Security Posture Management helps companies control AI use securely within Zero Trust. It detects shadow AI, enforces policies, and protects sensitive data from leaks.

Categorized in: AI News Management
Published on: Aug 26, 2025
Cloudflare Unveils AI Security Posture Management to Tackle Shadow AI and Protect Sensitive Data

Cloudflare Launches AI Security Posture Management for Zero Trust

August 25, 2025

Cloudflare has introduced AI Security Posture Management within its Zero Trust platform, offering companies a way to deploy AI tools securely without risking privacy or security. As AI use grows across departments—from finance to marketing—employees often adopt generative AI applications without security teams being aware. This hidden usage, known as Shadow AI, creates new risks for organizations unprepared to manage it.

Shadow AI Report: Visibility and Control

The Shadow AI Report gives security teams immediate insight into how AI is used within their organization. It identifies not just that AI apps are in use, but specifies which apps and who has access. This detailed information supports data-driven decisions to manage AI adoption responsibly.

Using Cloudflare Gateway, teams can automatically enforce AI policies. They can block unapproved AI applications or control the type of data employees upload to these tools. For example, this prevents accidental sharing of confidential information in chatbots or engineers deploying AI apps without security oversight. This approach addresses the risks that come with widespread AI adoption.

Protecting Sensitive Data with AI Prompt Protection

AI Prompt Protection monitors interactions between users and AI models, flagging risky prompts and responses. Policies are applied inline at the prompt level to catch potential data leaks early. If an employee tries to enter sensitive data—like source code—into an untrusted AI provider, the system can warn or block the action. This balance allows companies to maintain control over their data without fully restricting AI use.

Centralized Management with Zero Trust MCP Server Control

Zero Trust MCP Server Control offers a single dashboard to monitor all Model Control Protocol (MCP) calls—these are the requests AI models make to servers to perform tasks. Routing all MCP traffic through Cloudflare enhances oversight and control.

Striking the Right Balance

With these four pillars—Shadow AI Report, Cloudflare Gateway enforcement, AI Prompt Protection, and MCP Server Control—Cloudflare helps companies safely integrate AI without slowing down teams. The platform addresses the need to balance innovation with security as AI use continues to grow.

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