CybersecH
Cybersecurity hardening for A.I. solutions
Goal
Research and develop an end-to-end hardening framework for AI applications. The first European solution for assessing Adversarial Machine Learning vulnerabilities.
Use cases
1
Measure the AI model drift due to data poisoning.
2
Vulnerability assessment and penetration testing (VAPT) on the deployed AI application.
3
Evaluate the AI application trustworthiness and explainability.
Research programme
Cyber 4.0 - Cybersecurity Competence Center
Timeframe and status
2021 - 2022(Completed)
Topic
Cybersecurity
Project website
Datrix Roles and Contributions
1 – Research and develop the entire AI hardening framework.
2 – Design and develop an advanced prototype (see below for tech output details).
3 – Dissemination and commercialisation activities.
