Isolates critical security threats to Kubernetes and container-based architectures by developing tailored STRIDE models, fleet attack trees, and actionable remediation roadmaps that reduce attack surface exposure and align platform engineering with regulatory compliance standards.

Performs adversarial security evaluations across managed cloud clusters, on-premise environments, and air-gapped systems to discover vulnerabilities, test defensive controls, and validate security monitoring and detection alerting against realistic attack scenarios.

Assesses and strengthens the security architecture of AI/ML models, MLOps pipelines, and agentic workflows through scenario-based threat modelling, prompt injection analysis, and adversarial red teaming to ensure readiness against emerging cyber threats and regulatory requirements.