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2024 Report on the State of the Cybersecurity in the Union

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This document marks the first report on the state of cybersecurity in the Union, adopted by ENISA in cooperation with the NIS Cooperation Group and the European Commission, in accordance with Article 18 of the Directive (EU) 2022/2555 (…

ENISA Threat Landscape 2024

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Seven prime cybersecurity threats were identified in 2024, with threats against availability topping the chart and followed by ransomware and threats against data, and the report provides a relevant deep-dive on each one of them by analysing…

Best Practices for Cyber Crisis Management

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This study highlights the complexities behind the notion of cyber crisis and the degree of subjectivity it involves. The elevation of a large-scale cyber incident into a cyber crisis relies predominantly on a political decision, and depends…

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Cyber Insurance - Models and methods and the use of AI

The main objective of this report is to introduce cyber risk and cyber insurance, provide an overview of existing research and modelling approaches, and identify gaps for upcoming research projects.
Private Sector

Cybersecurity and privacy in AI - Forecasting demand on electricity grids

This report allows better assessment of the reality that artificial intelligence brings its own set of threats, which consequently insists on the search for new security measures to counter them. Finally, it should be noted that this guide strongly…
Private Sector

Cybersecurity and privacy in AI - Medical imaging diagnosis

This report allows better assessment of the reality that artificial intelligence brings its own set of threats, which consequently insists on the search for new security measures to counter them. Finally, it should be noted that this guide strongly…
Private Sector

Artificial Intelligence and Cybersecurity Research

The aim of this study is to identify needs for research on AI for cybersecurity and on securing AI, as part of ENISA’s work in fulfilling its mandate under Article 11 of the Cybersecurity Act . This report is one of the outputs of this task. In it…
Private Sector

Multilayer Framework for Good Cybersecurity Practices for AI

In this report, we present a scalable framework to guide NCAs and AI stakeholders on the steps they need to follow to secure their AI systems, operations and processes by using existing knowledge and best practices and identifying missing elements.…
Private Sector

Cybersecurity of AI and Standardisation

The overall objective of the present document is to provide an overview of standards (existing, being drafted, under consideration and planned) related to the cybersecurity of artificial intelligence (AI), assess their coverage and identify gaps in…
National / EU authoritiesPrivate Sector

Developing National Vulnerabilities Programmes

Based on the experiences and perspectives gathered from industry players and national governments, as well as on the documentation developed by multiple actors involved with national vulnerability initiatives and programmes, the EU Coordinated…
National / EU authoritiesPrivate Sector

Securing Machine Learning Algorithms

Based on a systematic review of relevant literature on machine learning, in this report we provide a taxonomy for machine learning algorithms, highlighting core functionalities and critical stages. The report also presents a detailed analysis of…
Private Sector

Recommendations for the security of CAM

The aim of this report is to provide a high-level overview of the cybersecurity challenges in the CAM sector and to highlight both the concerned CAM actors and associated recommendations. Cybersecurity in the CAM ecosystem is partially standardised…
Private Sector

Cybersecurity Challenges in the Uptake of Artificial Intelligence in Autonomous Driving

This report, drafted jointly by ENISA and JRC, aims to provide insights on the cybersecurity challenges specifically connected to the uptake of AI techniques in autonomous vehicles. It describes the policy context at both the European and…
Private Sector