Security & Threat Intelligence · 05.08.2026, 14:09 UTC
Catching rogue AI behavior with identity-aware analytics
| Schweregrad | info |
|---|---|
| Kategorie | Security & Threat Intelligence |
| Quelle | Cloudflare Blog ↗ |
| Veröffentlicht | 05.08.2026 UTC |
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When you look at your AI bill, it can be hard to tell if anything is amiss. You first need a baseline so you can see what has changed, whether it’s an agent that’s gone wild or an employee whose usage has spiked 10x. Being able to spot those shifts lets you start investigating, and so far, it’s been hard to see them.Knowing who is doing what with AI is one of the key challenges organizations are confronting right now. One report from Stanford University found that 59% of organizations said knowledge gaps were their biggest obstacle to responsible AI governance. This is a security problem as much as a financial one. Solving these issues takes two things: a verified identity on every request (so a spike has a name behind it), and a picture of what normal looks like for that identity. Today we're announcing both.Identity-aware AI Gateway with Cloudflare Access is now in open beta, and User Insights is generally available to every AI Gateway customer at no additional cost. Together they turn the traffic already flowing through AI Gateway into a behavioral baseline for every person and agent using it, and identify the ones that break from it.What is AI Gateway?AI Gateway is the central control plane for all of your AI usage. Instead of every app and team calling models on OpenAI, Anthropic, Google, or Workers AI directly, requests route through AI Gateway first, giving you one place to observe, secure, and govern all your AI usage.It works with the applications you build, and with the coding tools your developers already live in. Route agent harnesses like Claude Code, Codex, …