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Cloudflare launches AI‑SPM to centrally visualize Shadow AI alongside new posture management, prompt‑level guardrails, and gateway policies to help teams block risky apps, limit uploads, and monitor usage

August 27, 2025 //  by Finnovate

Cloudflare is introducing AI Security Posture Management (AI-SPM) into Cloudflare One, its Zero Trust platform to allow organizations to safeguard against a range of potential threats posed by the wide adoption of AI tools, enabling businesses to move faster with the confidence that AI is being used safely by all teams. Now, with the availability of all features, security teams will be able to: Discover how employees are using AI: With Cloudflare’s new Shadow AI Report, security teams can get instant insights from their traffic to gain a clear, data-driven picture of their organization’s AI usage. This granular view allows them to see not just that an employee is using an AI app, but which AI app, and what users are accessing it. Protect against Shadow AI: Cloudflare Gateway makes it easy to automatically enforce AI policies at the edge of Cloudflare’s network, ensuring consistent security for every employee, no matter where they work. Security teams can choose to fully block unapproved AI applications, limit the types of data uploaded into AI applications, and complete reviews of AI tools, to ensure they continue to meet security and privacy standards. Safeguard sensitive data without fully restricting AI usage: AI Prompt Protection allows security teams to identify potentially dangerous or risky employee interactions with AI models, and flag those prompts and responses. Policies can now be enforced inline at the prompt level to mitigate risk early on, and warn the employee about, or block them from, submitting sensitive data—like source code—being entered into an untrusted AI provider. This will give security teams the control they need to monitor company data that may be sent outside the organization, without fully restricting employees’ usage of AI tools. Gain visibility of AI model interactions with tools outside the business: Zero Trust MCP Server Control consolidates all MCP tool calls—a request from an AI model or application to a server to execute a specific task—into a single dashboard. This visibility ultimately allows all MCP traffic, regardless of origin, to be routed through Cloudflare for increased control and access management. Now, with centralized insights, security teams can set user-level policies at both the gateway and individual MCP server levels.

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Category: Cybersecurity, Innovation Topics

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