Critical infrastructure / OT. Done by the model.
Critical infrastructure is the one security domain where the consequence is physical — a tripped feeder, an overpressured vessel, a destabilised grid. IT tools stop at the plant firewall; OT monitors watch traffic but can't tell you what an attack does to the process. Aether for cyber-physical security couples a twin of the network with a twin of the physics and forward-rolls the intrusion to its physical effect — passively, safety-first, and built never to touch a live process.
Aether is the AI doing the critical infrastructure / ot work.
Three things to know about the AI underneath every workload on this page. We aren't building a chat surface for your team — we are training a foundation model that plans, runs and reports.
The AI does the discipline
Not a chat interface over your engineers. A foundation model that plans the study, picks the method, runs the agents, validates against measured reality and writes the report. The same shape an experienced practitioner would follow — done by the model.
One model, your context
We don't ship a sibling model per industry. The same Aether weights serve every discipline, but the agents on top are trained against your standards, your historical data and your regulatory posture.
Reality is the regulariser
We train on simulation, instrument and design data — not scraped text. The model gets better the more reality it touches. Reality is what tells it when it's wrong.
Cascade Grid Operator.
“It showed us which intrusion would actually drop the feeder — and which were noise.”
Ranked OT intrusions by what they'd do to the grid, not by CVSS.
The work, done by Aether.
These are the workloads Aether already runs in critical infrastructure / ot. Not a wish-list. Each ships with validated benchmarks and traces a senior engineer can read end-to-end.
- 01
Consequence simulation
The attack is forward-rolled in a coupled twin to its physical effect — does it trip the turbine, overpressure the vessel, destabilise the feeder — ranked by danger, not raw CVSS.
- 02
IT/OT boundary analysis
Segmentation, conduits and zones mapped to IEC 62443; the path from a phished IT laptop to an OT controller, and the shortest conduit to cut it.
- 03
Process-anomaly intelligence
Tells a cyber intrusion apart from a mechanical fault by reasoning over telemetry against the physics twin — the false alarm a pure-IT tool can't resolve.
- 04
ICS adversary emulation
ATT&CK-for-ICS played out against the coupled twin, measuring detection and physical resilience in sim where a failed control costs nothing.
- 05
Safety-system integrity
Reasons about whether an attack can defeat or mask the safety-instrumented system — the layer that must hold even when control is compromised.
- 06
Physical-access coupling
Badge, door and perimeter systems modelled alongside the network, so a tailgating path that reaches an OT cabinet is one analysis, not two siloed logs.
“We are building the AI that does critical infrastructure / ot — not the one that talks about it. Aether doesn't ask your engineers to drive its solvers. It runs the work, validates the artefact and writes the memo.”
The stack today.
The typical stack in critical infrastructure / ot — a half-dozen seven-figure renewals stitched together with internal glue code. We replace the spine; we don't touch the niches that work.
The agents in the mix.
Aether coordinates these specialist agents for critical infrastructure / ot. Each is independently deployable, but the coordination — and the foundation model underneath — is what makes them more than a folder of scripts.
How we ship into regulated critical infrastructure / ot.
The pieces that matter to procurement, security review and the regulator. We ship into industries where the boundary is real and the audit is unforgiving.
ITAR-clean compartments for defence and aerospace work
Export-control gating on agent capabilities by jurisdiction
Sovereign / air-gapped deployments — zero outbound traffic
Reproducible runs signed by model-version hash for design-review
Other companies shipping with us.
A slice of the customers we're allowed to name. The pattern repeats: one workload, one pilot, one comparison memo we co-author.
- Aerospace
Northwind Aerospace
Retired a $1.8M CAE renewal across two quarters.
62%wall-clock reductionRead the story - Drug discovery
Lyrebird Therapeutics
Closed the discovery loop on a fibrosis programme.
9 weekshypothesis → measured hitRead the story - Chip design
Helix Silicon
RTL to signoff on a 4nm SoC — without an incumbent-EDA renewal.
0EDA license serversRead the story
The AI is also running here.
A foundation model that serves twenty-two industries today. The same weights, different agents, different pilot patterns. Browse the ones nearest yours.
Questions about critical infrastructure / ot.
What does Aether replace in critical infrastructure / ot?
The incumbent stack here — Passive OT-monitoring appliances, Separate IT and OT SIEMs, Bespoke ICS asset-inventory tools, Tabletop-only consequence analysis — collapses into one model and one project file, with Aether for cyber-physical security and Aether for engineering doing the work under one safety story.
What outcomes should we expect?
Cyber-physical (consequence, not just reachability); Read-only OT (never actuates a live process); IEC 62443 (zone-and-conduit aligned) — scoped to your workload and measured against your own acceptance criteria.
How does a pilot work?
Three to eight weeks against a workload and a win condition you co-author. We run alongside your incumbent stack on real cases; if we aren't better on the metric by quarter end, the rest of the quarter is on us.
Can it deploy inside our boundary?
Yes — managed, in your VPC, on-prem or fully air-gapped on Aether Cloud, with the audit trail and provenance the regulated parts of this work require.
The AI is ready for critical infrastructure / ot.
Send us the workload that hurts. We'll come back with a scoped pilot — three to eight weeks, win condition co-authored. If we aren't better on the metric by quarter end, the rest of the quarter is on us.