Master Thesis: AI-generated Golden Paths for Platform Engineering
Core
Design and evaluate an architecture for continuous, risk-adaptive workload authorization using workload identity federation, Just-in-Time (JIT), Just-Enough Access (JEA), and AI-assisted risk evaluation to reduce persistent credentials in R&D production environments.
Role type
Master's thesis researcher (AI/Security/Platform Engineering)
Builds
Reference architecture and governance model for continuous workload trust
Domain
Cybersecurity, Platform Engineering, AI/LLMs
Deliverable
research
Required skills
Python, Java, cybersecurity, secure software engineering, AI/LLMs, workflow automation
Preferred skills
Git/GitLab, CI/CD, security assessments, n8n
Responsibilities
Investigate and evaluate architecture for continuous risk-adaptive workload authorization; examine federation patterns for R&D; analyze JIT/JEA for non-human identities; define AI-assisted trust reassessment triggers; ensure explainability and reliability of automated access control.
