IP Fabric sees your whole network from its real config. Cairn finds the weaknesses that are actually reachable in your topology. And our AI describes — end to end — the attack an adversary would run, ranks it by how likely it is, and maps it to the rules you're audited against. Read-only. Nothing executed. All on your own hardware, air-gapped.
The attackers already use AI to find the way in. This puts one on your side of the map.
Every morning your security team opens a screen screaming that everything is on fire — and a network diagram nobody fully trusts. They can't tell what a real attacker would reach, so they chase noise while the actual danger sits quietly in the corner.
Adversaries now use AI to map your attack surface, chain exploits into a path, and find what's actually reachable across your whole network — continuously, at machine speed. A diagram and a list of CVSS scores, reviewed once a quarter, can't keep pace with that.
That's the mismatch. The only way to stay ahead of an AI attacker is to reason about your own exposure the way it does — on your real topology, every day. That's what See · Know · Foresee is.
IP Fabric reads your real equipment — every device, config and rule — and draws a true picture of your network that's always current. Ask it “can this thing actually reach that thing?” and it answers with the exact path, and the exact rule that allows or blocks it.
What it caught: the admin login to a company's firewall was reachable from 16 of its 20 offices — only the data centre was protected. No scanner shows you that. Your own topology does.
Cairn reads your inventory and config, works out exactly which known weaknesses apply to what you're running, and then does the thing a scanner never can: it keeps only the ones that are actually reachable in your topology — and cross-checks them against what attackers are exploiting in the real world right now.
400 weaknesses become the 6 that are both dangerous and reachable. Those 6 — with your topology — are what feed the next step.
And it's never stale: every night Cairn pulls only the day's new and newly-exploited weaknesses — so what it knows about danger is never more than a day old, without anyone updating a feed by hand.
Our red AI takes those reachable weaknesses and your real topology, and thinks like an attacker: it writes out, step by step, the path an adversary would actually chain together — from a forgotten device to your crown jewels. It's all description. Nothing is ever run against anything.
Not every described path is equally urgent. The AI weighs each one by how reachable it is and who could realistically use it — an outsider from the internet, or an insider who's already through the door — and hands you a fix for each, in order.
A short, ordered list — each with the fix already written, ranked by the attacker most likely to use it.
Every finding is mapped to the controls you're actually audited against, so “we're segmented” becomes “here's the proof, per control.”
Findings map to named controls — e.g. SC-7(15), management interfaces on separate networks — the exact language an auditor uses.
Continuous, evidenced proof of network segmentation for EU financial-sector operational-resilience rules.
Segmentation and exposure evidence for essential-services obligations, refreshed on every snapshot.
The whole thing — the map, the ranking, the AI reasoning, the compliance evidence — runs on your own machine, air-gapped. No config, no topology, no findings are sent to a cloud. For regulated and sovereign customers, that's the difference between “interesting” and “allowed.”
Networks change every day — a new device, a routing tweak, a firewall rule someone edited at 2am. The whole stack re-runs automatically, every day: it re-reads your live network, pulls the night's new CVEs, and re-checks every path — so your picture of exposure is never yesterday's.
No one runs a scan. No one updates a feed. It catches the change before you'd have noticed it.
No more drowning in 400 alarms and a diagram you can't trust. You get the few threats that are truly reachable, truly exploited in the wild, and described end-to-end — each with a fix, ranked, mapped to compliance, refreshed continuously.
16 of 20 offices could reach it. Only the data centre was protected. Maps to a named control (NIST SC-7(15)) an auditor already asks about.
A years-old, end-of-support device nobody was watching — with a clear route to all 51 data-centre servers. No headline CVE. Only reachability finds it.
400 “criticals” in. One described, prioritized, compliance-mapped answer out.
The whole pipeline — See → Know → Foresee — as one animated diagram, with every component clickable to open up what it does.
Explore the interactive diagram → Or watch it on one real finding →The whole network, from real config. Reachability, hop by hop, with the exact rule.
The weaknesses that are both dangerous and actually reachable in your topology.
The attack an adversary would run — described, ranked, mapped to compliance. Never executed.
The whole exposure story — read-only, air-gapped, inside the platform your customers already trust.
IP Fabric sees it. Cairn ranks it. The AI foresees the attack.