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.…
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…
Is Secure and Trusted AI Possible? The EU Leads the Way
The European Union Agency for Cybersecurity (ENISA) releases 4 reports on the most far-reaching challenges in artificial intelligence (AI) on the occasion of the conference on the supervision of secure and trustworthy AI.
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…
Mind the Gap in Standardisation of Cybersecurity for Artificial Intelligence
The European Union Agency for Cybersecurity (ENISA) publishes an assessment of standards for the cybersecurity of AI and issues recommendations to support the implementation of upcoming EU policies on Artificial Intelligence (AI).