Cloud Security & Governance
Misconfiguration risk, identity and access governance, and security baselines for cloud workloads.
Applied research at the intersection of enterprise systems, cloud security and AI — focused on problems that practitioners face in real SAP and cloud landscapes.
Questions that come straight from operating real enterprise and cloud systems.
Misconfiguration risk, identity and access governance, and security baselines for cloud workloads.
Operational resilience, monitoring and incident patterns in SAP and ERP landscapes.
Machine learning for anomaly detection, log analysis and predictive maintenance (AIOps).
Methods, risks and outcomes of moving enterprise systems to public and hybrid cloud.
Ongoing projects and where each one stands.
Using workload and log data to flag unusual system behaviour before it becomes an incident.
STAGE: DATA COLLECTION & MODEL EXPERIMENTSA study of recurring cloud misconfigurations and the governance controls that prevent them.
STAGE: SUBMITTED FOR PEER REVIEWA framework for assessing readiness and outcomes when moving SAP workloads to the cloud.
STAGE: LITERATURE REVIEW & STUDY DESIGNPeer-reviewed papers, conference proceedings and preprints, newest first.
Entries marked Sample are placeholders and will be replaced with real work.
A Practical Framework for Access Governance in Enterprise Cloud Environments
Journal Name (sample), 2026
Towards Automated Health Monitoring of SAP Landscapes
Conference Name (sample), 2025
Cloud Security Priorities in Enterprise IT: A Practitioner Survey
arXiv preprint (sample), 2025
I’m open to collaborating with researchers, practitioners and students on applied problems in enterprise systems, cloud security and AI for operations.