Webinar · Critical Infrastructure and Energy · [Date]

AI for critical infrastructure. Operated under your supervision.

Utilities and grid operators must be able to prove security and due diligence at all times. In this webinar, we show how AI agents work in this environment: in your own data centre and with complete logging.

[Date]

[Time] · 45 minutes

online and free of charge

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in-manas is used wherever data needs special protection.
EURAC researchEAMPapstarJUSTBoschFFGUniversität Innsbruck

Patient data

Critical infrastructure

Strategic company data

Research

Critical workflows

This is where AI helps. And where mistakes are not an option.

Regulatory monitoring

Agents track changes in laws, regulations and supervisory requirements and summarise them.

Critical: a missed change becomes a compliance risk.

Plant and grid documentation

Agents search operating manuals, plans and technical documents.

Critical: the documents describe security-relevant infrastructure.

Incident analysis

Agents analyse notifications and reports and prepare incident reports.

Critical: reporting obligations come with tight deadlines.

Customer service and billing

Agents answer queries about contracts, tariffs and consumption.

Critical: consumption and contract data are personal data.

AI risks and answers

The risks are known. The AI OS has an answer for each one.

Security-relevant knowledge leaves the building.

Requests to external AI services contain details about your facilities.

Operation in your own data centre.

The AI OS runs on your premises, exclusively with local models if you wish.

Evidence is missing.

Regulators and auditors demand evidence that nobody keeps for AI applications.

A log for every agent run.

Every step is traceable. The EU AI Act module documents the risk class, obligations and responsible persons.

AI becomes an attack surface.

Manipulated inputs are designed to trick an agent into disclosing data.

Limited reach.

Each agent runs in isolation and only accesses approved data. Denied access attempts are visible.

Failures go unnoticed.

An agent hangs or delivers incorrect results.

Operations in view.

Operations reports failed and hanging agent runs, rising error rates and unreachable services.

Sovereignty in practice

You stay in control at four points.

For operators of critical infrastructure, this is a prerequisite. It is included in the AI OS from the first installation, at no extra cost.

Contracting party

A European company headquartered in Austria.

Infrastructure

Your own data centre or a European cloud, with the same functionality.

Model execution

You decide where models run, up to operation without external providers.

Control and logs

Permissions, logs and costs remain with you.

Registration

Secure your place

You will receive the access link by email. Everyone who registers will receive the recording afterwards.

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Frequently asked questions

Nothing. Participation is free of charge.

Yes. Everyone who registers receives the recording by email, even if they could not attend live.

Yes. With local models, you can run the AI OS entirely in your own data centre.

It provides logs, clear permissions and operational monitoring for your AI applications. This evidence feeds into your security management. Implementing the obligations remains your responsibility.

You define this through roles. New versions go live under the four-eyes principle and can be rolled back.