Cloudflare Unveils Zero Trust Tools to Secure AI at Scale

Cloudflare (NYSE: NET) has announced a new set of features for Cloudflare One, its Zero Trust platform, aimed at helping enterprises safely adopt generative AI applications. The tools give companies visibility and control over how AI is being used across teams — from marketing and finance to engineering — without forcing organizations to choose between security and innovation.

The launch comes as enterprises embrace generative AI at unprecedented speed, often without security safeguards. That raises risks ranging from employees pasting confidential data into chatbots to engineers deploying AI-powered apps without oversight. Cloudflare’s pitch: make AI security a built-in default, not an afterthought.

Key Features

• Shadow AI Report: Security teams can detect which AI apps employees are using, and how.

• Gateway AI Policies: Block or limit unapproved AI tools, and control what data flows into them.

• AI Prompt Protection: Flag or block risky prompts (e.g., source code pasted into public models).

• Zero Trust MCP Server Control: Consolidates and routes all MCP tool calls into a single dashboard for centralized policy enforcement.

Together, these features form what Cloudflare calls AI Security Posture Management (AI-SPM) — giving organizations the ability to embrace AI without losing oversight. Cloudfare's stock price rose by 138% in the last 12 months.

“Cloudflare is the best place to help any business roll out AI securely. We are the only company today that can offer the security of a Zero Trust platform with a full set of AI and inference development products—all backed with the scale of a global network,” said Matthew Prince, CEO and co-founder at Cloudflare.

TheMarketAI.com Take

AI security is going to be critical for enterprises — without it, adoption risks spiraling into data leaks and compliance nightmares. But the harder question is whether security controls will come at the cost of quality and usability.

If every AI interaction is monitored, flagged, or blocked, does that risk making AI… less AI? Features like “discover how employees are using AI” could give IT unprecedented visibility — but might also depress usage if employees feel watched. And strict prompt filtering could limit the very creativity that makes generative AI valuable.

The truth is that AI security is essential for AI to succeed at scale, but striking the balance between safety and efficiency will be one of the hardest challenges in the enterprise rollout. Get it wrong, and organizations could end up with AI that’s secure but underused — or powerful but dangerously exposed.

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