THE UAE WILL LOG WHAT ITS AGENTS DO.

WHAT HAPPENED

At a World Economic Forum meeting in Dubai in mid-October, Omar Sultan Al Olama, Minister of State for Artificial Intelligence, said the UAE has built a control tower for AI agents in the federal government. Every agent deployed across federal entities will have to connect to it. Each agent's actions and decision-making process are logged, and the system is audited continuously by AI and by people to keep agents within their intended authority.

He also set a limit: decisions that affect a person's life or livelihood are a red line for AI. Coverage of his remarks says services are being assessed by the consequences of a wrong decision before agents are assigned to them.

This month Khaleej Times reported that Abu Dhabi's Department of Government Enablement is putting more than 50 government entities under new security controls for AI agents. Najyb Al Maskari, executive director of its Government Cybersecurity Operations Sector, said the main danger is an attacker steering an agent into an action that looks authorized, such as opening financial records or personal data, or transferring money. His answer is defense in depth: oversight, auditing, monitoring of the models, guardrails and the ability to shut a model down.

THE FEDERAL STACK NOW HAS AN OVERSIGHT LAYER

Put the pieces announced since August side by side and the federal program reads like a reference architecture. In August officials described a National AI Gateway, a single secure access point to commercial models and to open-source models hosted on sovereign infrastructure, and FedAI, a shared platform for building agents. The control tower adds a record of what each agent did and why, checked continuously by software and by people.

Most private deployments we review have some version of the first two. Model calls go through a gateway or at least a single vendor account, and agents are built on one platform. The record is what is usually missing. Logs exist, but they capture API calls, and nobody can reconstruct from them which agent took which action on whose instruction.

WHY A PRIVATE COMPANY SHOULD BUILD ONE ANYWAY

No UAE statute requires a company to log its agents this way. The practical case is Abu Dhabi's threat model, which applies to any agent with write access to refunds, CRM records, payments or supplier data. When a manipulated agent does something that looked authorized, the action log is how you find out what happened and how you undo it.

Procurement is the second reason. Companies selling agentic services to federal entities will be connecting to a system that records every action, and they should expect buyers to ask about their own audit trail. The minister's red line also shows where scrutiny is likely to land first if a private agent harms someone, and hiring and credit decisions are the obvious candidates. Article 18 of the PDPL already gives people a right to object to automated decisions with serious effects, subject to exceptions, as we covered in our briefing on what actually applies.

A CONTROL TOWER FOR ONE COMPANY

• Register every agent. Record its name, its owner, the systems it can reach and the actions it may take. Then look for the agents nobody registered, including model features switched on inside SaaS tools.
• Log actions with the instruction attached. Store what the agent did, who or what asked and which inputs it used, somewhere the agent itself cannot write to.
• Give each agent its own identity. Least privilege per agent means a manipulated one can only do what its own role allows.
• Test the off switch. Confirm that you can stop any agent and reverse its recent actions within minutes, and run the drill before you need it.
• Keep livelihood decisions with people. Hiring, credit, dismissals and pricing exceptions belong in the recommend or refuse band of your decision boundary.