Cybersecurity. Done by the model.
Cybersecurity is a long-horizon analytical workload running against an active adversary. Aether for security pairs the long-horizon agent runtime with CVE-aware review, capability-gated tool use, and audit-grade trace. endpoint-protection suitess use it for vulnerability research, incident response, threat intelligence and policy analysis — under strict guardrails that prevent the same capabilities from being used offensively.
What the model actually computes.
These are the workloads the AI runs in cybersecurity — rendered live in SVG. Each panel is the geometry the model is reasoning about, the physics it solves for, and the validation it lands against measured reality.
Aether is the AI doing the cybersecurity 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.
Meridian Financial.
“It proved the path was exploitable against a copy of our network — then handed us the fix, not an exploit.”
Cut a critical-CVE triage from a two-day fire drill to an afternoon.
The work, done by Aether.
These are the workloads Aether already runs in cybersecurity. Not a wish-list. Each ships with validated benchmarks and traces a senior engineer can read end-to-end.
- 01
Vulnerability research
Code-base analysis with CVE indexing, exploit-pattern recognition, fix recommendation. The agent flags issues and proposes fixes; it does not autonomously weaponise findings.
- 02
Incident response
Long-horizon investigation state — alerts, indicators, host data, evidence chain. Provenance-tracked so the postmortem assembles itself.
- 03
Threat intelligence
Long-horizon analytical work over open-source intelligence, indicator feeds, and customer telemetry. Long-running memory tracks campaigns across years.
- 04
SOAR automation
Playbook execution under capability gating. The agent can drain traffic and rotate credentials but cannot exfiltrate.
- 05
Policy and compliance
Compliance-evidence assembly, control-mapping, audit-readiness. Memory provenance answers "why" cleanly.
- 06
Defensive research
Hardening recommendations, defensive-tooling development, blue-team scenario planning. Refusal corpus prevents pivoting to offensive use.
“We are building the AI that does cybersecurity — 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 cybersecurity — 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 cybersecurity. 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 cybersecurity.
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 cybersecurity.
What does Aether replace in cybersecurity?
The incumbent stack here — Per-tool security analytics stacks, Bespoke SOAR playbooks, Vendor-locked threat-intelligence platforms, Manual vulnerability-research workflows — collapses into one model and one project file, with Aether for cybersecurity and Aether for software doing the work under one safety story.
What outcomes should we expect?
CVE-indexed (review on every diff); Capability-gated (tool use, audited); Refusals (verified per release against red-team set) — 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 cybersecurity.
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.