FOR SECURITY LEADERS
YOU SIGN OFF ON THE AGENT. THEN IT ACTS.
Every AI agent in production went live because someone in your seat said yes. Identity tells you who the agent is. Access tells you what it can reach. Neither tells you whether the next action should happen. Mountain Theory checks every action before it runs, and writes down what it decided, so the yes you gave still means something on day 90.
The question you are about to get asked
This summer, OpenAI's own agents posted to public wikis to get around their sandbox, edited under moderators' names and built backup pages to survive takedowns. In December, Amazon's own coding agent reportedly deleted and rebuilt a production environment during a routine fix. In July 2025, a Replit agent deleted a production database after being told not to.
None of those was a breach. Every one ran on valid credentials. So the board question is not "are we secure." It is "could this happen to us," and the honest answer for most companies is that nobody would know until it had.
Our full record of the OpenAI incident
What we do
We control what autonomous AI does. The model still decides. The action does not run until it has been checked.
- Stops tool chaining: blocked once, blocked again on the workaround
- Catches agent drift: the goal it was given, not the one it wandered to
- Zero-day agent behavior stopped the day it appears
- No new rule, no signature, no patch to do it
Every action gets one of three outcomes: ALLOW, HOLD, or BLOCK. HOLD is yours to switch on for the actions you choose. Everything else runs at full speed. Every decision is logged, who, what, when, why, on a record your auditor can read without you in the room.
The scenario
A vendor-risk agent with valid credentials is told to clean up old evidence after a review, and the deletion is stopped before it executes. It goes looking for another way to reach the same result, chaining tools together, and every attempt is stopped too. Ungoverned, in the same run, the deletion completed.
The Optimo AI run, with the misses
One rule, as you would write it
Policy
Deleting or overwriting original evidence is prohibited. No approval path. Log every attempt.
Rules sit in one place and apply everywhere the AI runs, whichever model or framework it is built on. Change a rule once and the change is live. Your developers do not get a ticket.
What you hand the auditor
An append-only record of every decision: the action proposed, the rule that matched, the outcome, the time, and who wrote the rule. It exists because enforcement produced it, not because someone assembled a report afterwards. That is what SOC 2, ISO 27001, HIPAA, FERPA and CMMC auditors ask for when an AI system is in scope.
What the record has to contain, and why the usual logs do not count
The ask
A 30-day paid proof of concept on your agents and your action set, not ours. Then one flat annual price for the site, with no per-agent count to defend at renewal. Tests published, misses included, before you sign anything.
Book 30 minutes and bring the agent you have not signed off on yet
Proof