Cloudflare has introduced Cloudflare for AI, a suite of tools aimed at helping businesses, developers, and content creators deploy, store, control, and secure AI applications against threats. With an increasing reliance on AI-powered systems, the company is focusing on providing a secure and efficient AI environment for enterprises of all sizes.
AI in Focus
“Cloudflare for AI is not just a grouping of tools and features, some of which are new, but also a commitment to focus our future development work with AI in mind,” said Michael Tremante, a senior executive at Cloudflare.
Tremante highlighted the transformative role of AI in business operations — from automated workflows and improved search experiences to knowledge summarization. However, the rapid adoption of AI has blurred the boundaries of security and data privacy, making robust protection a necessity. He further emphasized the importance of visibility and control over AI applications to ensure they are functioning as intended.
Cloudflare’s AI initiatives aim to solve key challenges enterprises face, including safeguarding sensitive data, preventing misuse of AI applications, and providing actionable insights into performance and resource usage.
For Developers
Cloudflare’s AI suite caters to developers working on both fully custom applications and vendor-provided SaaS solutions. Workers AI and the AI Agents SDK facilitate scalable AI application development on Cloudflare’s extensive network. By running AI closer to users, the tools ensure low latency and high performance. Developers can quickly build and deploy AI agents using pre-built models or by integrating third-party AI engines for specialized use cases.
The AI Agents SDK further enables developers to customize their AI applications with advanced control mechanisms. Whether it’s image recognition, data classification, or conversational AI, Cloudflare offers the necessary infrastructure to bring AI projects to life efficiently.
Visibility and Monitoring
Once deployed, organizations can monitor their AI applications using Cloudflare’s AI Gateway. The gateway offers insights into application performance, including cost, usage, and latency. This enables businesses to make data-driven decisions and optimize AI operations efficiently.
With detailed visibility, businesses can identify bottlenecks, predict maintenance needs, and ensure AI models are running optimally. In addition, real-time dashboards provide a centralized view of application performance, allowing enterprises to respond swiftly to potential issues.
Tackling the Security Challenge
Network security teams face mounting challenges in securing AI applications. Firewall for AI introduces a discovery feature that helps security teams detect AI applications being used within the organization without requiring extensive surveys.
“You can’t protect what you don’t know about,” Tremante emphasized. The discovery feature ensures that businesses have complete visibility into AI usage, bolstering their cybersecurity posture. Organizations can monitor for potential misuse or vulnerabilities while maintaining regulatory compliance.
In addition to application-level security, Cloudflare’s suite offers protection from external threats. With advanced threat detection algorithms, it can identify and mitigate attacks targeting AI systems, including adversarial attacks and data poisoning attempts.
Additional Tools for AI Governance
To further enhance AI management, Cloudflare’s AI Gateway includes tools to track AI model performance over time. Companies can monitor model drift, accuracy degradation, and resource consumption. Automated alerts notify teams of any anomalies, helping them maintain high operational standards.
Moreover, Cloudflare’s governance tools provide compliance support, ensuring AI applications meet regulatory requirements and industry standards. Organizations can generate audit logs for AI interactions and analyze user behavior to detect any potential ethical concerns.
