Cloud Misconfiguration Detection Benchmark — MSc Research
A reproducible benchmark comparing static and runtime cloud misconfiguration detection for fintech payment workloads on Azure, using Terraform variants that model high-impact security misconfigurations.
- Evaluated detection tools on coverage, false-positive rate and time-to-flag, and analysed their complementarity.
- Incorporates DORA and PCI DSS considerations. Released as an open, reproducible artefact.
Terraform
Checkov
TFSec
Azure Policy
Defender for Cloud
The PRCIM Framework
Proactive Resilience for Cloud Identity Management: Integrating AI-driven anomaly detection with Zero Trust to eliminate "Authorized User" fraud.
MSc Module Paper
FinTech Security
Digital Forensic Processes
Critical Appraisal of Methodologies for the Collection and Analysis of Digital Evidence.
MSc Module Paper
Forensics
Zero Trust Compliance
Evaluating the implementation challenges and regulatory alignment of Zero Trust architectures in modern cloud environments.
MSc Module Paper
Compliance
AI Driven Security
Leveraging machine learning models for predictive threat analysis and automated incident triage.
MSc Module Paper
AI/ML