Artificial Intelligence Cybersecurity Challenges
This report presents the Agency's active mapping of the AI cybersecurity ecosystem and its Threat Landscape, realised with the support of the Ad-Hoc Working Group on Artificial Intelligence Cybersecurity. The ENISA AI Threat Landscape not only lays…
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…
Remote ID Proofing - Good practices
Through this report, ENISA aims to enhance stakeholder awareness, facilitate risk analysis in evolving threat landscapes, and bolster trustworthiness in remote identity proofing methods.
Cyber Security and Resilience of smart cars
The objective of this study is to identify good practices that ensure the security of smart cars against cyber threats, with the particularity that smart cars’ security shall also guarantee safety. The study lists the sensitive assets present in…
Security of Mobile Payments and Digital Wallets
The primary objective of this paper is the production of guidelines to assist mobile payment developers and mobile payment providers towards recommended security controls which if implemented would help ensure that consumers, retailers and financial…
Remote Identity Proofing - Attacks & Countermeasures
Remote identity proofing is a crucial element in creating trust for digital services. The present study analyses the collection and validation of evidence provided by the applicant to complete the verification of his or her identity. More…
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…
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…
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…
Annual Privacy Forum (APF) 2025
After 12 years, the Annual Privacy Forum (APF) enters into a new era! ENISA passes the baton to Goethe University Frankfurt and Karlstad University for the continuation of the successful event that bridges research and policy…