Cloudflare, the prominent connectivity cloud company, recently announced that it is introducing its first version of AI agents, Cloudy, to enable customers to harness AI-powered capabilities to improve management across its suite of products.
The company mentioned that the goal of this is to automate the time-consuming task of manually reviewing and contextualising Custom Rules in Cloudflare’s Web Application Firewall (WAF) and understanding Gateway policies in Cloudflare One.
The AI agent has been added to two Cloudflare products as a beta preview and will be expanded to other products in the near future.
Cloudflare’s WAF helps customers protect their web applications from attacks like SQL injection, cross-site scripting (XSS), and other vulnerabilities. Cloudflare One is a SASE (Secure Access Service Edge) platform that helps enterprises manage the security of their employees and tools.
When it comes to WAF Custom Rules in Cloudflare, which helps tune the web traffic to the application, Cloudy will show an AI-powered overview of all the rules. The AI agent will help identify redundant rules, optimise execution order, analyse conflicting rules, and identify disabled rules.
The company stated that this feature will help security teams spend less time auditing configurations.
For Cloudflare One, the AI agent works with Cloudflare Gateway to help manage policy configurations, which helps organisations block access to malicious sites, prevent data loss violations, control user access, and more.
With a quick summary of policies, it is easier for customers to get a clear understanding, spot misconfiguration, and find areas for improvement, stated the company.
The core of Cloudy’s functionality is Cloudflare Workers AI, which makes use of advanced large language models (LLMs) to process vast amounts of information, including its policy and rules data.
Cloudflare aims to enhance security by reducing the risk of human error using this technology.
