Can my AI be used against me?
Secure your AI stack. Keep humans in charge.
We secure the AI your organization runs, in your own cloud: hardened against attack from outside, contained against leaks from inside, and designed to make your people more capable, empowering them to deliver optimal value.
For organizations running AI, and for those deciding whether to start.
AI is already in your organization, whether you chose it or not.
Your people use it. Your vendors embed it. Attackers aim it at you. The question is not whether AI is in the building; it is whether anyone is in charge of it.
Attack from outside, with AI
Attackers use AI to find, phish and exploit faster than a team can patch, whether or not you run AI yourselves. If you do, your own AI endpoints are new doors: prompt injection, model theft, poisoned data, hijacked agents.
Leaks from inside, by AI
An assistant with broader access than any employee, a prompt that pulls a customer table into an answer, an agent that posts a secret to a tool. PII, IP and credentials leave without anyone deciding they should.
A decision nobody owns
An AI that answers a customer, screens an applicant or approves a claim with no human owner, nothing to appeal to, and no record for the regulator who asks. The EU AI Act, ISO/IEC 42001 and NIST AI RMF all ask for the same evidence in different words.
None of this is fixed by a policy. It is fixed by building the stack in a certain order.
Governed AI, built in four layers.
Protect the stack from the outside. Contain what the AI may see, say and do inside. Prove it works, live, in your environment. Augment your people with AI tools built for the work they already do. Each layer rests on the one below it.
Can my AI leak, or be turned from inside?
No. Guardrails hold what it may see, say and do, so nothing leaves a domain unrecorded.
Does this work in my environment, or only on a slide?
In your environment. We build a proof of concept that runs the whole pyramid, live.
What will it do for my people?
Give them AI tools built for the work they already do, and put those tools into production.
Built this way, the AI that is safe to run is also the AI that makes your people more capable.
Built in your cloud. Designed for your people. Proven before you commit.
AI bought to cut headcount produces autonomous agents with broad access and nobody to answer for them, and a workforce that will not adopt it. AI built to augment people keeps a named human on every decision. Human by design and secure by design are the same design.
An integrator
sells replacement as the return, and grades its own work.
A consultancy
leaves a deck, and the building to you.
Earthonomy AI
builds the controls in your own cloud, designs every system to make your people more capable, and has the result scored by the Earthonomy platform’s independent validators, not by the team that built it.
- Sized to the organization.A cooperative with one workload and an enterprise with fifty get the same pyramid and the same evidence. The Pilot is scoped to what you run, or to the first thing you would.
- We will tell you if you should not build yet.The findings can say that the shortest path is to secure what you have and wait. You keep the report either way.
What we promise, and what we do not. We never promise that a client will not change its staffing; that is the client’s decision. We promise the design and the disclosure: every system we build is designed to raise output per person, every decision has a human owner, and the workforce impact is published.
Here is what stands behind that.
Measured by a platform that is already in production.
Earthonomy AI implements; the Earthonomy platform measures, records and certifies. Everything below runs today.
Governance measured before and after, not asserted
Every implementation is scored at the start and again at the end on the same instrument, by the Earthonomy platform rather than by the team that built it. The result is a record, not an opinion.
Independent human sign-off, by construction
Validators are drawn at random from a conflict-filtered pool, see only what they are assigned, and vote blind; the review panel must be unanimous. Earthonomy AI never validates its own engagement.
Proof you can hand to anyone
Certifications issue as verifiable credentials with a public verification link that needs no login. A regulator, a customer, a union or a county board checks it themselves.
Certified where you run
Our architects and engineers hold current certifications on Azure, AWS and Google Cloud and on the AI platform we implement on, each verifiable on the issuer’s site. Why Databricks
Checked against the frameworks your security team already uses: MITRE ATLAS, the OWASP Top 10 for LLM Applications, your AI platform’s security framework, your cloud’s well-architected security guidance, NIST AI RMF and ISO/IEC 42001, and the EU AI Act. The posture evidence names its controls, so nobody has to take our word for it.
The first step is small, priced, and yours to keep.
The Governed AI Pilot™: from assessment to a working proof, fixed fee.
One engagement, four things you keep: the assessment, the findings, the solution design, and a proof of concept running in your own cloud. Yours whether or not we do the follow-on work.
What you leave with
- The assessment: a scored baseline across the pyramid, with a threat-informed risk register and a control gap map, so the board sees where the gaps are and security and legal each see their own list
- The findings report: what to secure first, what to contain, what to prove, and whether to build at all
- The solution design: your first governed AI system, with the augmentation map: the tool chosen by what it lets your people do, and the people who will use it
- The proof of concept: running in your cloud on real governed data, with its evidence log, that you can keep, extend, or switch off
After the Pilot, the same pyramid scales and stays governed.
Four phases, the Governed AI Loop™; the Pilot is the first two. Each phase earns the next, and the loop returns to the assessment on your cadence, so nothing new runs ungoverned.
- Assessin the PilotThe scored baseline, the risk register, the findings report.
- Provein the PilotThe solution design and the proof of concept, running in your cloud.
- ScaleThe design built out across your workloads, every control mapped to its clause.
- StewardPatched, monitored and re-scored on the cadence you set.
And because the instrument is Earthonomy’s, you leave with more than the AI.
Your own cloud, our own staff.
Every implementation is designed and built by our own staff, certified in cloud architecture and engineering on Azure, AWS and Google Cloud, and on the AI platform we implement on. Governance is a practice before it is a platform, and the people who carry it are ours.
You come for the AI. You leave already measured.
Every engagement leaves you scored on two of the seven forces of Earthonomy’s Seven Forces Framework, the instrument behind sustainability reporting and regenerative certification for organizations and facilities. Your rating is your weakest force, so a governed AI stack raises what an ungoverned one would cap. When you are ready for the reporting, the certification, or the full regenerative assessment, you are already in.
Governance architects
Design the governance: the threat model, what the internal guardrails permit, which external standards apply, what must be observable and to whom, and how your people stay in charge of the result.
Governance engineers
Build and run it: the secure workspace in your cloud, the catalog permissions and gateway guardrails, the lineage and audit pipelines, and the reports that turn observability into something a person can act on.
Tell us where you are with AI.
Thirty minutes. We come back with the shape of a Pilot and a fixed fee. Every inquiry is read by a person.
Partnership, press, investment or training? Use the full inquiry form. Not sure where you fit? Find your path.