Detecting Anomalous AI Behavior via Identity-Aware Analytics

Cloudflare AI Gateway functions as a central control plane that observes, secures, and manages all AI requests in one place. It can be configured to route not only OpenAI, Anthropic, Google, and Workers AI models but also coding agents such as Claude Code, Codex, and GitHub Copilot through the AI Gateway.

Integration of AI Gateway with Cloudflare Access links each request to the identity of an authenticated user. Authentication is performed via SAML-enabled identity providers such as Okta and Entra, gateway access policies can be configured, and cf.user_id is used to view logs, analytics, and costs per actual requester.

This identity information is also utilized for user-specific budget management. Spending limits can be set per user to block requests or switch to cheaper models when exceeded, and in the future, model access permissions and spending limits can be controlled based on groups from the identity provider.

User Insights learns normal behavioral patterns for users and agents based on traffic passing through the AI Gateway and identifies accounts behaving differently than usual. By analyzing usage metrics such as cost and cache hit rates, it can detect runaway agents or employees with sudden usage spikes, utilizing existing gateway traffic without requiring additional configuration.

According to a Stanford University report, 59% of organizations cited knowledge gaps as the biggest obstacle to responsible AI governance. Cloudflare addresses AI security and cost management issues together by combining identity-based request tracking with behavioral baseline analysis.