MOUNTAIN THEORY VS OASIS SECURITY
New here? The short version: Mountain Theory checks each action an AI is about to take, against rules you write in plain English, before the action runs. Everything below compares that with what Oasis Security does.
Oasis is a pure-play non-human identity company with the depth that focus brings, now part of Cyera (acquisition agreed July 2026, completed September 2026). Identity and action control are layers, not substitutes.
| Oasis Security | Mountain Theory | |
|---|---|---|
| What it controls | Non-human identity lifecycle | The action an AI agent is about to take |
| Where it sits | Upstream, at credential issuance | Inline at execution, between the decision and the action |
| How policy is set | NHI governance policy | Plain English, no code |
| Deployment reach | Machine identity across estate | Model and framework agnostic, including custom and on-prem agents |
| Best fit when | Credential lifecycle is the problem | An AI acting wrongly has physical or regulatory consequences |
Why you might pick Oasis Security
Pure-play NHI focus and strong technical depth on the machine identity lifecycle. If machine identity sprawl is your problem, this is a company built entirely around it.
Why you might pick Mountain Theory
Oasis manages identity. Mountain Theory governs action. Oasis tells you the agent holds the right credentials. Mountain Theory stops the agent when the right credentials are about to do the wrong thing.
The honest verdict
Oasis keeps your machine credentials clean, rotated and accounted for, which removes a whole class of problem. It does not help on the day a perfectly hygienic, correctly rotated credential is used by an agent that has been talked into something. Credential hygiene reduces how often the wrong actor acts. Mountain Theory decides whether the action goes through at all.
What we can actually show
Proof
Four things with a published run behind them.
Claims in this category are easy to make and hard to check, so here is ours on the record. The same 10 actions were run in the same order under three configurations. Ungoverned, 10 of 10 executed. Under NVIDIA OpenShell alone, all 5 sandbox-boundary crossings were denied at the kernel, and all 3 in-bounds bad decisions still went through, including a secrets read that printed credentials to the screen. Under OpenShell plus Mountain Theory, those same 3 actions returned HOLD, HOLD and BLOCK, and the secrets read was stopped before it executed, so the credentials never printed. Terminal recordings of all three runs are published, including the two actions Mountain Theory has no policy for.
Separately, when a third-party provider updated the foundation model driving an autonomous agent, the agent began attempting multi-step actions it had never tried before. Nothing on our side changed. Every attempt was stopped on 30 and 31 July 2026, the days the behavior first appeared. No new rule, no signature, no patch.
Both products in this comparison operate at the execution layer. What execution-layer security is, and how it differs from prompt filtering and from access control.
Watch the three-configuration run against NVIDIA OpenShell
See novel agent behavior stopped the day it appeared
Ask Oasis Security, and every other vendor you are evaluating, for the same four things: the exact action set, the ungoverned control condition, the outcome per action including the ones the product did not stop, and the recording. A certification, an integration list or a customer logo answers a different question.
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