The New Frontline: Why Autonomous Ships Are a Cybersecurity Challenge

MindChip builds the autonomy systems that let vessels operate with little or no crew aboard. This is the first of eight posts explaining, in plain language, what it takes to make such a vessel one you can actually trust — and how anyone would know. No cybersecurity background is assumed.

For most of maritime history, keeping a ship safe meant physical things: a strong hull, a competent crew, good charts, and a sharp lookout on the bridge. Today a new kind of vessel is putting to sea – one that navigates, senses its surroundings and makes decisions with little or no crew aboard. These are autonomous surface vessels, or ASVs, and they are already being used for coastal surveillance, environmental monitoring, survey work and various other purposes. They promise lower costs, safer operations in dangerous conditions, and the ability to keep working around the clock.
But an autonomous vessel introduces a risk that a traditional ship simply doesn’t have. When the “crew” is software and the commands arrive over a wireless link, the vessel is no longer just a physical object – it is a computer that floats. And anything that is a computer can, in principle, be attacked.

A ship is now part of the internet

Think about what has to happen for an uncrewed vessel to do its job. It receives instructions from an operations centre onshore. It streams video and sensor readings back so people can see what it sees. It updates its own software from time to time. It talks to satellites to know where it is. Every one of those connections is a doorway. Most of them are useful, necessary doorways – but a doorway that lets the right information in can also, if it isn’t protected, let the wrong instructions in.
This is the fundamental shift. A conventional ship can be boarded only by physically reaching it. An autonomous ship can be “reached” by anyone who can find and exploit a weakness in its communications, its software, or the systems onshore that command it – potentially from the other side of the world.

What could actually go wrong?

It helps to be concrete. The threats to an autonomous vessel fall into a few broad categories:

  • Deception – feeding the vessel false information so it believes something untrue about where it is or what’s around it. A vessel that trusts a faked position may steer confidently in the wrong direction.
  • Disruption – jamming or flooding its communications so the vessel loses contact with its operators, or its sensors go dark at exactly the wrong moment.
  • Takeover – the most serious: an attacker who gains enough control to issue commands the real operator never intended.
  • Theft of information – quietly reading the vessel’s video, sensor data or mission details. For surveillance or infrastructure-monitoring roles, the data itself can be sensitive.

None of these are science fiction. Interference with navigation signals is already a documented, everyday problem in some parts of the world’s oceans. The difference with an autonomous vessel is that there is no human on the bridge to notice something feels wrong and take manual control on instinct. The software has to be the one that stays suspicious.

Why “just add security later” doesn’t work

A tempting mistake is to build the clever autonomy first and bolt on security at the end, like fitting a lock to a house that’s already built. It rarely works, because security isn’t a single feature you attach – it’s a property of how the whole system is designed. Where does the vessel store its secret keys? How does it decide which commands to trust? What happens when it loses contact? These questions have to be answered in the architecture, not patched over afterwards.
There is also a physical dimension that pure software companies never face. An autonomous vessel can be captured. Someone can physically take possession of the hardware and try to extract its secrets at leisure. That means the security design has to assume the attacker might one day be holding the computer in their hands – a threat model closer to a defence system than a typical web application.

Where this post series comes from

Security claims are easy to make and hard to demonstrate. Any supplier can say their system is secure. The harder question — the one a customer, an insurer or a regulator eventually asks — is how do you know, and can you show me.

Answering that properly means cybersecurity certification: having an independent party check your system, and the way you build and maintain it, against a published standard. It is the right mechanism, and it has a well-known problem. It is slow, expensive and largely manual. For a large manufacturer that is a costly nuisance. For a small company it can be the difference between entering a market and not.

That problem is what CertifAI set out to attack. CertifAI was a three-year research project funded by the European Union under its Horizon Europe programme, running from September 2023 to August 2026. Its question was narrow and practical: can artificial intelligence make cybersecurity certification faster and cheaper without making it weaker? Eleven partners took part — research institutes, universities, and certification and assurance bodies including DNV and EZU, who between them know what an assessor actually needs to see.

Research like that is only worth anything if it is tested against reality, so four industrial partners each put a real, working system forward as the subject of an assessment. Hitachi Rail offered a railway control platform. Schneider Electric offered an electric grid controller. Catalink offered a forest fire-detection device. MindChip offered Artificial Captain, and led Use Case 3 — the maritime one.

The company we were keeping there is not incidental to this series. Autonomous vessels were included for the same reason as railway signalling and power distribution: they are becoming part of critical infrastructure, and what protects them has to be as rigorous as what protects a substation.

Three years of that work — running prototype tools against a live platform and reporting back where they helped and where they fell short — shaped a good deal of how MindChip now thinks about security. It is what this series draws on. The final post returns to CertifAI properly; the posts in between reference it where it is relevant, in a marked box like the one you will see from the next post onwards.

 Where this post series is going

Over the next seven posts we’ll look at how these challenges are addressed in practice. We’ll dig into the specific threats – spoofing, jamming and takeover – and how you go about finding them systematically rather than by guesswork. We’ll explain how you protect a vessel that might be physically seized, how you safely deliver software updates to ships that are often offline at sea, and what it means to mathematically prove a security property rather than merely test for it. We’ll look at why the systems onshore matter just as much as the vessel itself. And we’ll close with the question underneath all of it: once you have built something secure, how do you prove it to someone else?
Throughout, the aim is the same: to show that autonomy and security aren’t in tension. Done properly, strong security is exactly what makes autonomy trustworthy enough to deploy.

About this series. This post is part of MindChip’s “Cybersecurity for Maritime Autonomy” series, sharing practical insight from our work securing, assessing and certifying autonomous surface vessels. MindChip OÜ led Use Case 3 — the maritime use case — in CertifAI (certifai.info), a three-year Horizon Europe research project that developed AI-assisted tools for cybersecurity certification. MindChip was one of eleven partners, alongside Tecnalia, Hitachi Rail GTS Austria, Schneider Electric, TTTech, DNV, NTNU, Simula Research Laboratory, UBITECH, Catalink and EZU.

Funded by the European Union under Grant Agreement No 101120606. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.