Nothing gets in. Nothing gets out. Everything on record.
BUILT SO YOU CAN SCALE AGENTIC AI
WITHOUT THE RISK OR THE RUNAWAY COST
EscrowAI's confidential, verifiable AI computing protects your models and data from every angle—outside attackers, privileged insiders, even us—and enforces exactly what your AI agents are allowed to do, with an immutable record of what actually happened.
Train and Deploy with Confidence. Not Just Hope.
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Why BeeKeeperAI?
Agentic AI is scaling faster than most enterprises can actually govern it.
Nearly every enterprise plans to expand its use of AI agents this year — but confidence is rising faster than real governance.
Most organizations trust their agentic AI more than their actual monitoring and controls justify. And the same agentic workflows driving that risk are quietly driving up cost too: a single agent can burn 5–30x the tokens of a simple query, and that multiplies with every additional agent in the chain.
Meanwhile, the market is flooded with vendors claiming to solve one problem or the other — rarely both, and rarely proven.
This isn't a confidence problem. It's a competence problem — and getting it right depends on the choice you make, not the reassurance you feel.
One Problem
Two Solutions Solved at the Root
EscrowAI is a hardware-isolated Trusted Execution Environment — the foundation everything else runs on.
Inside it, your data and your models compute together without ever being exposed, even to us.
On top of that foundation is real-time enforcement over what your agents are allowed to do while they're running, and the option to run your own open-weight language models privately, inside the same enclave, instead of paying per token to send your data outside it.
Agentic workflows are what's driving both the risk and the runaway cost — so our platform is built to contain one, and built to also contain the other.
This is for any enterprise moving into agentic AI who wants to do it responsibly — not just secured against the risk, but disciplined about the cost.
Where BeeKeeperAI® Stands Today
We say what's solved, and what isn't. We address 8 of 10 on OWASP's list of top agentic AI risks NOW.
Instead of rounding it up to 10 of 10, we're honest about exactly what EscrowAI delivers today, and what's being developed as you read this.
Cost-Containment
✓ Solved
EscrowAI already lets you run open-source, open-weight models inside that same enclave today — cutting your dependence on expensive frontier-model APIs, without giving up any of the guarantees above.
Confidentiality
✓ Solved
EscrowAI runs inside a Trusted Execution Environment — a secure enclave where your data and your model can compute together without either one ever being exposed, even while the work is happening.
Authorization
✓ Solved
You define exactly what your agents are permitted to do, and under what conditions. Most security stops at the outside attacker. EscrowAI goes further — your data and model are inaccessible even to privileged admins, infrastructure operators, and BeeKeeperAI itself.
Enforcement
✓ Solved
Those boundaries are a property of the environment itself — not a rule an agent could be talked out of. Every computation is recorded in an immutable, tamper-proof log. Whatever happened inside the enclave—what ran, what it touched, what it returned—is never a matter of taking anyone's word for it. It's a matter of record.
Detection & Revocation
▢ In Progress
Catching an agent the moment it moves outside what was approved, and pulling back its authority before an action completes — especially once it's handed work to another agent — is the frontier the whole industry is working toward. We're building it in the open, not claiming it's finished.