Your customer records. Your communications. Your IP.
The most valuable thing your organization owns is its data.
Find it. Use it. Share it.
Never expose it.
Your data has to be two things at once. Secure enough to survive an attack; available enough to drive decisions at speed and scale.
Work is collaborative, so it gets shared beyond your walls. Competition demands AI, so it has to be readable by machines. Every one of those demands has meant accepting more risk. Donoma takes risk out of the equation so you can win.
Trusted where exposure is not an option
Navy FederalCredit UnionFreddie MacCaliforniaDepartment of JusticeFederal RetirementThrift Investment BoardCentral StatesPension FundsWestern VirginiaWater AuthorityBrownsvillePublic UtilitiesMass General BrighamHospitalsVirginia EpiscopalSchool
The gap
Your data lives in three states. Encryption as you know it covers two.
This isn’t something your team got wrong. For twenty years, “encrypt your data” has quietly meant “encrypt it while it’s sitting still.” That was the best anyone could do, so it became the standard; and then it became the assumption.
State 01
At rest
Sitting on disk, or the system is powered down.
Encrypted
State 02
In transit
Moving across the network between systems.
Encrypted
State 03
In use
Being queried, analyzed, or served to an application.
Readable by anyone with access
99%
of a running database’s life is spent in that third state. To process a query, the engine decrypts your data into memory. That is simply how databases work.
In that state, a database administrator, a contractor with valid credentials, or anyone who compromises a privileged account can read all of it in plain text. Nothing looks unusual. No alert fires. The query looks like every other query.
This is not theoretical
147M
A credit bureau
An injection attack reached a database that was running at the time.
100M
A national bank
An insider used entirely legitimate access to live customer data.
190M
A healthcare clearinghouse
A third party aggregating claims was reached and emptied.
An outside attacker, a trusted employee, and a vendor you don’t control. Three different ways in, and the entry point turned out not to be what mattered. In every case encryption was fully deployed and protected nothing, because the data was in use when they got to it. Average time for an organization to even notice: 277 days.
Closing that third state is the entire reason Donoma exists.
How it works
The data never gets decrypted. The work happens anyway.
That is the part people assume is impossible, because previously, it was. The shift is simple to describe: instead of opening your data so software can use it, the work moves inside the encryption and happens there.
01
Your data stays where it is, encrypted
In the databases and systems you run today. No migration, no rip and replace, and your existing applications keep working.
02
The work happens inside
Searches, queries, analytics, and AI retrieval all execute against encrypted data. There is no readable copy sitting in memory while they run.
03
You decide what comes out
Results cross the boundary only in the form you allow, to the people you allow. Change your mind later and you can revoke it, even after data has been shared.
Watch the work move inside the encryption.
No product screens. No jargon. Just the idea itself, and why nothing readable ever leaves.
How it works
ENCRYPTED · EVEN IN USE DATA FLOWS THROUGH · THE CHAMBER NEVER OPENS
MILLIONS OF RECORDS · STILL ENCRYPTED HER ANSWER COMES BACK · NOTHING EXPOSED
FOUR YEARS · SEALED ONLY WHAT WAS ASKED FOR LEAVES THE STACKS
ANSWERS ONLY · NEVER THE DATA ITSELF ACCESS WITHDRAWN
SeshatPROTECTS DATA IN USE f7#kQ9$vLm2@xZ8 aW3&nD6!tY1%uH5 Query it, analyze it, run AI on it. Never decrypted.
OneVaultFINDS & PROVES WHAT WAS SAID Every email, chat, and call. Searchable and provable.
THE SAME PLATFORM UNDERNEATH BOTH www.donomasoftware.com
THE GAP
What that changes
An attacker who gets in finds nothing worth taking
Records, configuration, and logs are all encrypted, so there is nothing readable to pivot on and nothing usable to steal.
Zero Trust that finally reaches the data layer
Most programs secure the network and verify identity, then stop; Donoma enforces it where the loss actually happens, so even a verified user cannot read what they were never entitled to see.
Your AI provider never sees your content
Retrieval runs on encrypted material, so the data you feed a model is never exposed to whoever operates it.
Data sovereignty, wherever your data travels
Residency and jurisdiction stop being an architecture problem when the data is unreadable to every system it passes through.
Where does it hurt?
Two problems. One platform underneath both.
Most organizations recognize themselves in one of these immediately. Start wherever the pain is sharpest; the same technology handles both, so nothing you do first limits what you do next.
Data in use
“We can’t safely use the data we have.”
Analytics stall. AI projects get blocked in review. Every query against sensitive records means exposing them to whoever is running it, so the most valuable data stays off limits to the people who could act on it.
- Query and analyze without decrypting
- Run AI and RAG on data that was off limits
- Share with partners and keep control after it leaves
SeshatData-in-use security
Data you’ve kept
“We can’t find or govern what we’ve already got.”
Communications pile up across email, chat, and voice. Discovery takes weeks and outside counsel bills for the wait. Retention is a policy on paper that nobody can prove was followed.
- Search years of communications in seconds
- Answer discovery without a fire drill
- Prove retention instead of hoping it held
OneVaultMulti-data enterprise archive
Not sure which one you need? Tell us what you’re dealing with and we’ll point you at the right one.
Straight answers
The questions that come up every time
If you have been evaluating this space, you have heard claims that did not survive contact with production. These are the five things people press us on hardest.
They protect a different layer. An enclave wraps your application logic in protected hardware, but your database sits outside it and still hands back readable data. Enclaves also require specific processors and are limited by how much memory they can hold. We protect the data itself, straight through the query, on standard hardware. If you already believe in confidential computing, you will recognize immediately why the data layer still needs solving.
You were right about the speed. Fully homomorphic approaches run orders of magnitude slower than working on ordinary data, need specialized hardware to be even tolerable, and require rewriting your applications into a specialized model to use at all. That is a research programme, not a deployment. We run on standard CPUs with minimal application changes; query and reporting workloads are near-native, and the heaviest computation adds roughly 200 milliseconds.
No. Standard drivers, ORMs, and BI tools keep working, because integration happens at the infrastructure layer rather than inside your code. This is the opposite of column-level encryption approaches, which demand extensive rewrites and then disable joins, range queries, sorting, and aggregations on the columns you protected.
It applies more, not less. On your own hardware, your administrators are the insider risk. In the cloud, the provider’s personnel may also have access while your data is being processed; a residual risk most cloud security models simply accept, and you carry. We remove it, without changing your cloud architecture or your procurement path.
Partly true, and worth being precise about. Recent releases added post-quantum algorithms for network connections and key management, which genuinely protects data at rest and in transit. It does not change what happens during processing, where data is decrypted in order to be used. Quantum-safe key management does not protect data sitting in the clear. If your data has to stay confidential for years or decades, that is the state that matters.
Something else on your mind? Tell us what you’re dealing with.
From the blog
Thinking in public
28 July 2026
Encryption at rest is not enough
It shows up on compliance checklists, passes audits, and gives security teams a sense of completion that the threat model does not support.
Read →
21 July 2026
End-to-end encryption protects your messages. It does not protect your data.
The phrase has done a lot of work in consumer software, and it has quietly created an expectation that does not carry over to the enterprise.
Read →
14 July 2026
Insider threat: when the attacker already has a badge
Most controls assume the problem is getting in. The harder question is what someone can read once they are already inside and fully authorized.
Read →
Recognition
Built in the United States to secure what matters most.
We are a small team solving a problem much larger companies have been circling for a decade. It is in production today; not a pilot, not a roadmap, not a research paper.
Designed · engineered · supported in the USA
AFCEA Entrepreneurial / R&D Innovation Award
2026 · Presented at TechNet Cyber, Baltimore
Top InfoSec Innovator Awards, Finalist
2025 · Cyber Defense Magazine
“Hot Company” in Privacy-Enhancing Technology
Cyber Defense Magazine
Ready when you are
Start where it hurts most.
You don’t have to re-architect anything to find out whether this works. Secure one database. Replace one archive. Unblock the AI project that has been stuck in review. Whichever of those is costing you right now, begin there and judge us on what you see.
Nothing you do first limits what you do next; it is the same platform underneath. The technology is ready. The only thing left is the decision to begin.
