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.
OQIRON Architecture
The intelligent core
beneath enterprise autonomy.
Five interconnected layers that form the complete intelligence infrastructure for AI-native enterprises. Every layer is governed by MURAQIB. Every action is proven before it executes.
Oqiron Core
MURAQIB
Execution assurance layer that evaluates agent actions before they enter enterprise systems.
Oqiron Guard
MIZAN
Policy, risk, compliance, auditability, and regulator-ready evidence generation.
Oqiron Agents
Massar · Majlis
Certified reference agents for workflow governance, board intelligence, and executive operations.
Oqiron Forge
RABT
APIs, SDKs, connectors, and integration rails for enterprise AI deployment.
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
Policy, memory, language, integration
MIZAN, MAARIFA, MIDAD, and RABT create the cognitive infrastructure behind regulated autonomy.
Layer 3
Governed agentic applications
Certified use cases: workflow agents, board packs, executive intelligence, data requests, and regulated operations.
Live Clearance Simulator
See MURAQIB decide.
In real time.
Select an agent action. MURAQIB evaluates it against 1,041 policy rules and returns a clearance decision with a cryptographic evidence record. This is what runs before every AI action inside a governed institution.
Configure Agent Action
Configure an action and run evaluation
MURAQIB will evaluate against 1,041 policy rules
Sample Clearance Record
This is what MURAQIB generates for every governed action
ActionAgent requests to send board pack to external recipient
Data ClassificationBOARD CONFIDENTIAL
JurisdictionSaudi Arabia · SAMA jurisdiction
Policy Gates Triggered
Data classification rule PG-044
External recipient authorization PG-112
Board confidentiality rule PG-089
Cross-border transfer check PG-201
DecisionESCALATED — Human authority required
Evidence IDEVD-2026-SA-00491
Generated in143ms
Governed byMURAQIB · OQIRON · ISO 42001:2023
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-2026-SA-04847",
"policies_evaluated": 1041,
"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 packCertification Standards
One standard.
Three levels of institutional trust.
Oqiron is designed to become the trust standard institutions use before allowing AI agents to act inside regulated environments. Certification is the institutional proof that an agent has been evaluated, governed, and cleared for deployment.
Tier I · Standard
Oqiron Standard
For low-risk informational and analytical agents operating in controlled enterprise environments.
Agent identity · Core policy gate · Evidence chain · Annual review
From SAR 50,000 / certification
Annual assurance contract
Agent identity and passport issuance
Core policy gate coverage
Cryptographic evidence chain
Tier II · Regulated
Oqiron Regulated
For agents performing medium-risk actions under financial, data, or institutional governance frameworks.
Full policy gate · Multi-jurisdiction pack · Behavioral monitoring · Quarterly review
From SAR 200,000 / contract
Compliance outcomes contract
Full policy gate coverage
Multi-jurisdiction evidence packs
Behavioral anomaly monitoring
Tier III · Critical
Oqiron Critical
For agents executing high-stakes actions such as financial approvals, regulatory filings, and consequential decisions.
Critical infrastructure assurance · Real-time monitoring · Regulator pack · Continuous review
From SAR 500,000 / embedded contract
Embedded compliance contract
Runtime monitoring and escalation
Human authority routing
Dedicated compliance officer track
Institutional Story
Not a certified agent. Not a certification contract.
An institution that the agentic era requires.
The strongest institutions in the world were not built as certified agents — they were built as infrastructure. BIS, SWIFT, and IAEA did not compete. They defined the rails everyone else runs on.
Agentic AI needs governance rails before it becomes operational infrastructure.
Oqiron’s opportunity is to become the trusted layer between model capability and institutional action — the place where autonomous systems become governable, certifiable, and accountable.
Designed for institutions that cannot afford governance gaps
Sovereign Wealth Funds
AI governance for asset management and institutional mandates
Licensed Financial Institutions
AML, compliance, and regulatory evidence for AI-driven decisions
Financial Regulators
SAMA, CMA, NDMO-aligned governance infrastructure
National AI Offices
Standards, certification, and institutional oversight for AI deployment
Government Digital Authorities
Accountable AI for public sector autonomous systems
AI Infrastructure Companies
Governance certification for agent platforms deploying at scale