Without OQIRON
Action first. Audit later.
AI agents execute sensitive tasks, then compliance teams discover gaps after risk has already moved through the institution.
The problem
Enterprise AI is powerful.
Its control layer is not.
Models can draft, decide, route, recommend, and act — but most enterprises still govern them through command centers, policies, approvals, and audits that sit outside the action path.
With OQIRON
Govern before execution.
Every proposed agent action is intercepted, evaluated against policy, and cleared, escalated, or blocked before the action occurs.
The standard
From smoke alarm to sprinkler.
The category shift is simple: move from retrospective AI governance to preventive AI infrastructure.
Layer 0
Any model. Any agent.
HUMAIN, Copilot, GPT, Claude, custom institutional agents, and future autonomous institutional systems.
Layer 1
OQIRON Core — MURAQIB
The clearing engine that intercepts agent actions, evaluates policy, verifies authority, and generates evidence.
Layer 2
Governed agentic applications
The systems that act: workflow agents, data requests, and regulated operations. MASSAR is the reference integration built against the rail.
A cleared action
What a decision
actually looks like.
This is a real record's shape, using real identifiers. It is an example printed on a page — nothing here is generated, and no decision is made by viewing it.
Example — static
Reproduced from a sealed record. Nothing on this page evaluates anything.
Action typeEXTERNAL_CORRESPONDENCE
Control triggeredEXC-01
DecisionESCALATED — human authority required
Evidence IDEVD-BFC347CC
Sealed atchain sequence 481
See a real verdict, not a simulation.
Sandbox access runs against the live rail on an isolated chain. Records seal to a separate genesis and never enter the anchored production chain. Access is granted manually — a person reviews each request.
Request sandbox accessObservability
Trace any governed action.
Replay any clearance decision.
A governance decision you cannot reconstruct is one you cannot defend. MURAQIB records every clearance as a tamper-evident artifact — so months later, an examiner can see exactly what was evaluated, which policy gates fired, and why the action was cleared, escalated, or blocked.
Trace
Follow any action from the moment it was proposed through every policy gate it passed, the authority that was checked, and the risk profile that was scored.
Replay
Reconstruct a past clearance exactly as it happened. Same inputs, same gates, same decision — a deterministic record, not a best-effort log.
Prove
Export a bilingual evidence pack aligned to the jurisdictions in scope, so a compliance team hands a regulator a document — not a database query.
Technical Integration
One API.
Every enterprise system.
MURAQIB exposes a structured clearance API that any enterprise system — SAP, Oracle, Microsoft, or custom — submits to before executing an AI action. The response includes the decision, evidence chain, and policy trace.
POST
/clearance/evaluate
// Submit an agent action for pre-execution clearance
{
"agent_id": "MASSAR-001",
"action_type": "FINANCIAL_TRANSFER",
"amount_sar": 2500000,
"counterparty": "Al Rajhi Bank",
"jurisdiction": "SA",
"data_sensitivity": "CONFIDENTIAL"
}
200
Clearance Response
// MURAQIB clearance decision
{
"decision": "APPROVED",
"risk_score": 0.24,
"evidence_id": "EVD-BFC347CC",
"rule_triggered": "EXC-01",
"response_ms": 143,
"governed_by": "MURAQIB·OQIRON"
}
Available Endpoints
POST
/clearance/evaluatePre-execution action clearancePOST
/agents/registerAgent identity and passportGET
/evidence/{id}Retrieve evidence packPOST
/policy-gates/simulatePolicy simulationGET
/compliance/reportRegulator evidence packScope
What is running,
and what is not.
There is no certification scheme for AI agents — ours or anyone’s. Nothing on this site certifies an agent, and no agent named here has been certified by anyone.
MURAQIB is the clearance rail. An agent declares a proposed action; the rail evaluates it against a fixed control catalogue and returns one verdict; the verdict and the declaration are sealed together into a hash-chained record.
MASSAR is the reference integration built against it — governed institutional request handling: classify, route, draft and escalate, with every action cleared by MURAQIB first. massar.oqiron.ai ↗
Every agent identity in production is governed by the rail. How many exist, how many hold a registered signing key, and how many hold an API credential are three different figures with three different dates — D2 carries each of them. One further identity runs in an isolated sandbox whose records seal to a separate chain and are not anchored.
أوكيرون
Begin
The agentic era needs the same infrastructure the financial era needed in 1944.
Not certified agents. Not certification contracts. Institutions. Standards. Infrastructure. OQIRON is building the governance rail the agentic era will require — inspired by the institutional infrastructure that made global finance, standards, and safeguards interoperable — built from the Gulf, trusted by every side.