Detecting Insecure Authentication Flows at Design Time with Graph Machine Learning

• Forschungsstelle: INNOSUISSE
• Projektnummer: 136.969 INNO-ICT
• Projekttitel Englisch: Detecting Insecure Authentication Flows at Design Time with Graph Machine Learning

Schlüsselwörter (Englisch)

ICT, IT security and cryptography

Abstract (Englisch)

Modern IAM systems let non-experts design login flows visually, but small mistakes can open serious security gaps. This feasibility study explores using graph machine learning to analyse these flows as they are built and to highlight insecure configurations before they ever reach production.