INTELLIGENT ZERO TRUST

New innovations help security teams monitor AI usage, protect against Shadow AI and safeguard sensitive data, from a single centralised platform

loudflare, Inc., has announced new capabilities for Cloudflare

One, its Zero Trust platform, designed to help organisations securely adopt, build and deploy emerging generative AI applications. Customers have the ability to automatically understand, analyse and set controls on how generative AI is used throughout their organisation – enhancing the productivity and innovation of their teams without sacrificing security or privacy standards.

Currently, widespread adoption is frequently occurring without security or privacy in mind. For example, employees may accidentally paste confidential company information into chatbots, or engineers may deploy AI-driven apps without the input of their security teams. To prevent these risks, businesses need to understand and manage the use of AI so all employees can use it efficiently and safely-with security built in by default.

“ 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.

Cloudflare is introducing AI Security Posture Management( AI-SPM) into its Zero Trust platform to allow organisations 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 organisation’ s AI usage.

• 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.

Matthew Prince, CEO and co-founder at Cloudflare

• 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.

• 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.

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