Most security tools defend against attacks they've already seen before. Moat AIS learns what your website is supposed to look like in the first place, then stops whatever doesn't fit that picture.
No two sites look the same under the hood. A blog's traffic bears almost no resemblance to an online shop's, and a news site runs nothing like a SaaS app.
We analyse your specific website to work out what legitimate activity looks like on it, then use that as the baseline. Anything that deviates gets evaluated. Anything that clearly doesn't belong gets blocked.
What you end up with is security shaped to your site alone, and you never had to configure a thing.
We build up a picture of what your website is supposed to look like: its structure, its patterns, how legitimate visitors tend to behave. This model is built for your site specifically, and only your site.
That picture gets sharper over time. Your dashboard shows you exactly what's permitted, and flags anywhere it needs your input.
Every request gets evaluated the moment it arrives, before it touches your server. Fits your site's profile? It passes through without friction. Doesn't fit? It gets assessed, tracked, and acted on.
Persistent or high-risk sources get blocked automatically, and you're not the one who has to step in and do it.
On a rolling cycle, the AI looks back across recent activity for patterns a single request wouldn't reveal on its own: coordinated behaviour, slow enumeration, attacks spread across multiple sources over time.
It also keeps your protection current as your site changes. Legitimate visitors keep moving freely, things that don't belong get squeezed out, and every decision still runs through you.