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AII-1001-95411
ReportedReported by fewer than three independent publishers, with no official finding.Supporting sources are pending verification.

Marlink reports rising AI-driven cyber threats in maritime sector

Marlink reported that cybercriminals used generative AI and large language models to carry out increasingly sophisticated attacks against maritime vessels from June to December 2024. The report documented 10,700 malware incidents across monitored vessels and warned of growing threats in 2025.

December 2024 Β· Marlink Β· Security and cyberattacks
December 2024
AII-1001-95411
Quick facts
Organization
Marlink (deployer)
Category
Security and cyberattacks
Country
Norway
Date
December 2024
Drafted by
Raidu Incident Detection

What happened

Marlink's Security Operations Centre report for June to December 2024 found that cybercriminals increasingly used generative artificial intelligence to enhance attack capabilities in the maritime sector. Hackers utilised large language models (LLMs) to expedite malware creation, automate phishing efforts, and improve social engineering methods.

Over the six-month period, Marlink's global SOC network monitored 1,998 merchant and leisure vessels, documenting nine billion security events and 39 billion firewall events, 718,000 alerts, and 10,700 malware incidents. Email was one of the most commonly exploited vectors for cyberattacks, with users targeted through phishing schemes, malware-infested attachments, and misleading links.

Reported impact

The report noted 50 major incidents managed during the period and identified a shift towards a more organised cybercriminal ecosystem, with the market for network access doubling in the past year.

Index analysis

Marlink Cyber president Nicolas FurgΓ© stated that H2 2024 saw a marked evolution in cyber threats as malicious actors adopted increasingly efficient, structured, and business-like approaches to cybercrime, putting additional pressure on the maritime industry.

Governance controls

Marlink recommended more robust enforcement of software policies, improved endpoint control, and heightened user awareness aboard vessels to address the evolving threats.

Classification

Organization
Marlink (deployer)
Category
Security and cyberattacks
Industry
Mobility and autonomous vehicles
Country
Norway
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property
Harmed
Business
AI systems
Generative AI, Large Language Models

Sources and evidence

Sources not yet published

This record was researched and written by the Index from original reporting. Its sources are still being verified by an editor, and they are listed here once that check is complete. Until then the record carries no reviewer.

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