Abstract

This document addresses organizational and technical solutions aimed at ensuring the cybersecurity of high-risk AI systems over the lifecycle, 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

2024-11-05

WI

JT021029

Planned document number

DIN EN JT021029

Project number

04301129

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