DIN Standards Committee Information Technology and IT Applications
Artificial intelligence - Cybersecurity specifications for AI Systems
Abstract
This document addresses organizational and technical solutions aimed at ensuring the cybersecurity of high-risk AI systems over the life cycle, appropriate to the relevant circumstances and the risks. The technical solutions to address AI-specific vulnerabilities include, where appropriate, measures to prevent, detect, respond to, resolve and control for attacks trying to manipulate the training dataset (data poisoning), or pre-trained components used in training (model poisoning), inputs designed to cause the model to make a mistake (adversarial examples or model evasion), confidentiality attacks or model flaws. This document provides objective criteria to enable decisions on whether a given technical or organizational solution adequately achieves a given vulnerability-related goal.
Begin
2024-10-02
WI
JT021029
Planned document number
prEN 18282
Responsible national committee
NA 043-01-42-05 AK - Applications
Responsible european committee
CEN/CLC/JTC 21/WG 5 - Joint standardization on Cybersecurity for AI systems
