MAPLE is guarding a key. Your job is to talk her into giving it up. Seven security layers stand between you, and each one tells you exactly why it stopped you.
Nine levels. No signup. Nothing you type leaves your browser.
Start playing How the real firewall worksEvery level switches on one more layer of the same seven layer pipeline that runs in the SecuritAI AI Firewall. Level 1 reads the bytes of what you typed. Level 4 reads what you meant rather than what you wrote. Level 7 reads the reply on its way back out, which is the layer most people have never thought about: you can talk a model into agreeing to tell you, and still not get the answer.
The point is not that you are stopped. The point is that you are told why. Open any layer in the telemetry panel and it shows what it matched, what it scored, what its threshold was, and how this browser build differs from the production service.
No, and it says so on every layer. The model you are talking to is a small deterministic program, not a language model, and the detection layers are a working reimplementation of the same techniques rather than the production service. That distinction is written into each layer panel so you can see exactly where the browser build and the real thing part company. What is real is the detection logic: the byte inspection, the pattern families, the intent matching, the scoring and the output scanning all run for real, in your browser, on what you type.
If you build with AI and any of these levels felt uncomfortably familiar, that is the useful outcome. The AI Firewall runs this pipeline in front of a real model in production, and AI red teaming is the same exercise you just did, run properly against your own system.