CloudFlare introduces AI Security Attitude Management (AI-SPM) to its Zero Trust platform, allowing organizations to protect against the scope of potential threats posed by the wide adoption of AI tools, allowing them to travel faster with confidence that AI will be used safely by all teams.
CloudFlare, Inc. , The leading Connectivity Cloud Company has announced powerful new features for its zero trust platform, Cloudflare One. With these new features, CloudFlare offers customers the ability to automatically understand, analyze, and set up how AI is used across their organization, increasing team productivity and innovation without sacrificing security or privacy standards.
From finance and marketing to engineering and design, across all teams, companies use generated AI to run faster, streamline daily tasks, and create powerful new applications. However, this widespread adoption occurs frequently without security or privacy in mind. For example, employees can accidentally paste information from a confidential company into a chatbot. Alternatively, engineers can deploy AI-driven apps without input from security teams. To prevent these risks, businesses need to understand and manage the use of AI. This way, all employees use security built by default, making it efficient and safe for all employees to use it.
“CloudFlare is the perfect place for any business to safely deploy AI. We are today the only company that can provide the security of a Zero Trust platform with a complete set of AI and inference development products supported at the scale of a global network.
– Matthew Prince, CEO and co-founder of CloudFlare
CloudFlare introduces AI Security Attitude Management (AI-SPM) to its Zero Trust platform, allowing organizations to protect against the scope of potential threats posed by the wide adoption of AI tools, allowing them to travel faster with confidence that AI will be used safely by all teams. Now, with all features being available, the security team can:
- Discover how employees use AI: CloudFlare's new Shadow AI report allows security teams to gain instant insights from traffic and get clear, data-driven images of your organization's AI use. This detailed view lets you see not only the employee is using AI apps, but also which AI apps, users are accessing them.
- Protect from ShadowAI: CloudFlare Gateway allows you to automatically enforce AI policies at the edge of CloudFlare's network, ensuring consistent security wherever all employees work. Security teams can choose to block unapproved AI applications completely, limit the type of data uploaded to AI applications, limit the full review of AI tools, and ensure that they continue to meet security and privacy standards.
- Protect sensitive data without completely restricting AI usage. With AI's rapid protection, security teams can identify potentially dangerous or dangerous employee interactions with the AI model and flag those prompts and responses. You can enforce policies inline at the prompt level to mitigate risk early on, and alert or block employees from sending sensitive data like power cords. This allows security teams to have the necessary management to monitor corporate data that may be transmitted outside the organization without completely restricting employees' use of AI tools.
- Get visibility into AI models interactions with non-Business tools: Zero Trust MCP Server Control Consolidates all MCP tool calls (requests from AI models or applications that are requests to perform specific tasks) into a single dashboard. This visibility ultimately allows all MCP traffic to be routed through CloudFlare, regardless of origin, for increased control and access control. Currently, centralized insights allow security teams to set user-level policies at both the gateway and the individual MCP server level.
