Too much access
Agents are often given blanket rights to file shares, mailboxes and business applications - more than the task requires. Every surplus permission is an attack surface that a manipulated agent can exploit.
AEGIS by oQueo - governance for AI agents
AEGIS separates thinking, checking and acting. No agent takes action until an independent authority has approved it - run on your own infrastructure, fully traceable, under your control.
Launching in 2027. A limited number of pilot places for selected organisations.
The problem
They read files, write emails and call other systems. Most solutions on the market simply trust the model to do the right thing. Yet a language model cannot reliably tell your instruction apart from a piece of text it happens to be processing.
Agents are often given blanket rights to file shares, mailboxes and business applications - more than the task requires. Every surplus permission is an attack surface that a manipulated agent can exploit.
What an agent plans, it often carries out in the same step. A single injected instruction in an email or a PDF is enough to turn a summary into an outbound transmission. No second, independent check takes place.
Who triggered what, when, and on what basis? With many systems this is almost impossible to reconstruct after the fact. Without a reliable log, you lack the basis for root-cause analysis, liability questions and evidence for supervisory authorities and clients.
The principle
AEGIS is built on the three-authority principle. The work is split across three technically separate authorities. Each has exactly one job - and none can override another.
Planning authority
Understands the task and plans the steps. The result is a structured proposal known as an intent. This authority has no access to credentials and cannot execute anything itself.
Checking authority
Matches every intent deterministically against your rules: permitted tool, permitted action level, valid timestamp. Only what passes every check receives a cryptographic signature.
Execution authority
Verifies the signature a second time and executes only what has been approved. Every step, including every denial, is recorded in a log that cannot be altered afterwards without detection.
Use cases
AEGIS is designed for organisations that want to use AI agents in production, whose data must not end up in third-party hands and whose decisions have to be demonstrable.
Client data is subject to professional confidentiality. Agents may research and prepare drafts, but nothing leaves the firm without being checked.
Health data is one of the special categories of personal data under the GDPR. Local operation and strict action levels keep sensitive data in-house.
If you owe evidence to clients, auditors or supervisory authorities, you need a log showing which agent did what, with which approval.
AEGIS is not tied to any model provider. You choose the models that suit your requirements and replace them without rebuilding your controls.
Data sovereignty
AEGIS runs on your own infrastructure, from an on-premises server to an environment with NAS storage. No disclosure to third parties, no dependency on any particular provider.
By default, the internet is treated as untrusted. You decide which models are used, which data the system is allowed to see at all, and whether it may reach destinations outside your network.
Insights
An in-depth article every week on governance, security and law relating to AI agents - with sources and without marketing language.
Which AI Act duties apply to AI agents, and from when: provider or deployer, high-risk classification, AI literacy and the new dates after the Omnibus.
How much access should an AI agent get? Its own account, rights scoped to the task, and credentials kept out of the prompt, short-lived and revocable.
Human approval of AI agent actions only protects when it is rare, specific and well designed. What AI Act Article 14 and automation bias research tell us.
Questions
AEGIS (Agent Engine - Governed Intent System) is a system by oQueo that lets organisations deploy AI agents without giving up control. Before any action by an agent is executed, an independent authority checks it against your rules, signs it and logs it.
Commercial launch is planned for 2027. Until then we are working with a small number of pilot organisations who help shape how AEGIS is deployed in their environment. Go to the pilot programme.
The scope depends on your infrastructure, the number of agents and your requirements for integration and support. We prepare an individual quotation for each organisation.
AEGIS is built to run on your own hardware, from a single server to an environment with NAS storage. We work out together in the initial consultation which setup makes sense for your models and data volumes.
AEGIS is not tied to a single provider and is designed for locally hosted models. We decide together which models make sense in your environment.
No. AEGIS provides technical controls and evidence: permissions based on the principle of least privilege, checked approvals and a tamper-evident log. The legal assessment of your deployment and the organisational responsibility remain with you. More on security and compliance.