Cloudflare, Inc., a leading connectivity cloud company, has unveiled a suite of new tools within its Cloudflare One Zero Trust platform designed to support organizations in securely adopting and scaling generative AI applications. Recognizing the surge in AI use across various teams from finance and marketing to engineering and design Cloudflare aims to help businesses harness AI’s productivity benefits without compromising security or privacy. This comes at a time when many organizations face risks such as employees unintentionally sharing confidential information with AI chatbots or deploying AI tools without appropriate security oversight.
Matthew Prince, Cloudflare’s CEO and co-founder, emphasized the company’s unique position in combining the security of a Zero Trust framework with robust AI and inference development capabilities, all supported by a global network. He noted that innovative businesses looking to accelerate AI adoption need a secure foundation that enables rapid growth without sacrificing protection, and Cloudflare’s platform is designed to meet that critical need.
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Central to these new capabilities is AI Security Posture Management (AI-SPM), which offers organizations comprehensive oversight and protection against risks associated with broad AI tool usage. Featuring the Shadow AI Report, security teams gain immediate insights into how AI is being used across the organization, identifying which AI applications employees access and tracking detailed usage patterns. This granular visibility helps prevent unauthorized or risky AI behaviors.
Additionally, Cloudflare Gateway facilitates policy enforcement at the network edge, allowing security teams to block unapproved AI tools, restrict data types that can be shared with AI applications, and maintain strict review processes to ensure ongoing compliance with security and privacy standards. The platform also introduces AI Prompt Protection, a feature that detects potentially sensitive or dangerous information input into AI models, such as proprietary source code, and can block or warn users in real-time, enabling a balanced approach that safeguards sensitive data without halting AI adoption altogether.
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Another important capability is the Zero Trust MCP Server Control, which consolidates all machine communication protocol (MCP) traffic the requests AI tools send to servers into a single dashboard. This centralized control enables security teams to monitor and manage AI tool interactions beyond the organization’s immediate infrastructure, applying user-specific policies both at the network gateway and at individual server levels.
Together, these enhancements equip organizations to confidently embrace generative AI innovations while maintaining strong security postures, ensuring AI’s transformative potential can be realized safely and effectively across diverse teams and environments.
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